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https://api.github.com/repos/huggingface/datasets/issues/355 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/355/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/355/comments | https://api.github.com/repos/huggingface/datasets/issues/355/events | https://github.com/huggingface/datasets/issues/355 | 653,451,013 | MDU6SXNzdWU2NTM0NTEwMTM= | 355 | can't load SNLI dataset | {
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"I just added the processed files of `snli` on our google storage, so that when you do `load_dataset` it can download the processed files from there :)\r\n\r\nWe are thinking about having available those processed files for more datasets in the future, because sometimes files aren't available (like for `snli`), or ... | 2020-07-08T16:54:14Z | 2020-07-18T05:15:57Z | 2020-07-15T07:59:01Z | CONTRIBUTOR | null | null | {
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} | `nlp` seems to load `snli` from some URL based on nlp.stanford.edu. This subdomain is frequently down -- including right now, when I'd like to load `snli` in a Colab notebook, but can't.
Is there a plan to move these datasets to huggingface servers for a more stable solution?
Btw, here's the stack trace:
```
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https://api.github.com/repos/huggingface/datasets/issues/347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/347/comments | https://api.github.com/repos/huggingface/datasets/issues/347/events | https://github.com/huggingface/datasets/issues/347 | 652,106,567 | MDU6SXNzdWU2NTIxMDY1Njc= | 347 | 'cp950' codec error from load_dataset('xtreme', 'tydiqa') | {
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"This is probably a Windows issue, we need to specify the encoding when `load_dataset()` reads the original CSV file.\r\nTry to find the `open()` statement called by `load_dataset()` and add an `encoding='utf-8'` parameter.\r\nSee issues #242 and #307 ",
"It should be in `xtreme.py:L755`:\r\n```python\r\n ... | 2020-07-07T08:14:23Z | 2020-09-07T14:51:45Z | 2020-09-07T14:51:45Z | CONTRIBUTOR | null | null | {
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I guess the error is related to python source encoding issue that my PC is trying to decode the source code with wrong encoding-decoding tools, perhaps :
https://www.python.org/dev/peps/pep-0263/
I gues... | {
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https://api.github.com/repos/huggingface/datasets/issues/345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/345/comments | https://api.github.com/repos/huggingface/datasets/issues/345/events | https://github.com/huggingface/datasets/issues/345 | 651,761,201 | MDU6SXNzdWU2NTE3NjEyMDE= | 345 | Supporting documents in ELI5 | {
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"Hi @saverymax ! For licensing reasons, the original team was unable to release pre-processed CommonCrawl documents. Instead, they provided a script to re-create them from a CommonCrawl dump, but it unfortunately requires access to a medium-large size cluster:\r\nhttps://github.com/facebookresearch/ELI5#downloading... | 2020-07-06T19:14:13Z | 2020-10-27T15:38:45Z | 2020-10-27T15:38:45Z | NONE | null | null | {
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} | I was attempting to use the ELI5 dataset, when I realized that huggingface does not provide the supporting documents (the source documents from the common crawl). Without the supporting documents, this makes the dataset about as useful for my project as a block of cheese, or some other more apt metaphor. According to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/342 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/342/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/342/comments | https://api.github.com/repos/huggingface/datasets/issues/342/events | https://github.com/huggingface/datasets/issues/342 | 651,333,194 | MDU6SXNzdWU2NTEzMzMxOTQ= | 342 | Features should be updated when `map()` changes schema | {
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"`dataset.column_names` are being updated but `dataset.features` aren't indeed..."
] | 2020-07-06T08:03:23Z | 2020-07-23T10:15:16Z | 2020-07-23T10:15:16Z | MEMBER | null | null | {
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We should update the features in this case (with what is possible to infer). | {
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https://api.github.com/repos/huggingface/datasets/issues/337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/337/comments | https://api.github.com/repos/huggingface/datasets/issues/337/events | https://github.com/huggingface/datasets/issues/337 | 650,035,887 | MDU6SXNzdWU2NTAwMzU4ODc= | 337 | [Feature request] Export Arrow dataset to TFRecords | {
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} | The TFRecord generation process is error-prone and requires complex separate Python scripts to download and preprocess the data. I propose to combine the user-friendly features of `nlp` with the speed and efficiency of TFRecords. Sample API:
```python
# use these existing methods
ds = load_dataset("wikitext", "wik... | {
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} | We are still a few datasets missing for Open-Question Answering which is currently a field in strong development.
Namely, it would be really nice to add:
- WebQuestions (Berant et al., 2013) [done]
- CuratedTrec (Baudis et al. 2015) [not open-source]
- MS-MARCO (NGuyen et al. 2016) [done]
- SearchQA (Dunn et al.... | {
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https://api.github.com/repos/huggingface/datasets/issues/331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/331/comments | https://api.github.com/repos/huggingface/datasets/issues/331/events | https://github.com/huggingface/datasets/issues/331 | 648,533,199 | MDU6SXNzdWU2NDg1MzMxOTk= | 331 | Loading CNN/Daily Mail dataset produces `nlp.utils.info_utils.NonMatchingSplitsSizesError` | {
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"I couldn't reproduce on my side.\r\nIt looks like you were not able to generate all the examples, and you have the problem for each split train-test-validation.\r\nCould you try to enable logging, try again and send the logs ?\r\n```python\r\nimport logging\r\nlogging.basicConfig(level=logging.INFO)\r\n```",
"he... | 2020-06-30T22:21:33Z | 2020-07-09T13:03:40Z | 2020-07-09T13:03:40Z | CONTRIBUTOR | null | null | {
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} | ```
>>> import nlp
>>> nlp.load_dataset('cnn_dailymail', '3.0.0')
Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.26 GiB, total: 1.81 GiB) to /u/jm8wx/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0...
Traceback (most recent call last):
File "<stdin>", line 1, in... | {
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"Hi, can you give details on your environment/os/packages versions/etc?",
"Environment is Ubuntu 18.04, Python 3.7.5, nlp==0.3.0, filelock=3.0.12.\r\n\r\nThe external volume is Amazon FSx for Lustre, and it by default creates files with limited permissions. My working theory is that FileLock creates a lockfile th... | 2020-06-30T19:45:31Z | 2024-12-26T15:13:39Z | 2020-06-30T21:33:06Z | CONTRIBUTOR | null | null | {
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} | I'm downloading a dataset successfully with
`load_dataset("wikitext", "wikitext-2-raw-v1")`
But when I attempt to cache it on an external volume, it hangs indefinitely:
`load_dataset("wikitext", "wikitext-2-raw-v1", cache_dir="/fsx") # /fsx is an external volume mount`
The filesystem when hanging looks like thi... | {
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"To be able to generate the Arrow dataset you need to either use our csv or json utilities `load_dataset(\"json\", data_files=my_json_files)` OR write your own custom dataset script (you can find some inspiration from the [squad](https://github.com/huggingface/nlp/blob/master/datasets/squad/squad.py) script for exa... | 2020-06-30T16:42:53Z | 2020-07-06T21:43:59Z | 2020-07-06T21:43:59Z | NONE | null | null | {
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} | We have a multi-task learning model training I'm trying to convert to using the Arrow-based nlp dataset.
We're currently training a custom TensorFlow model but the nlp paradigm should be a bridge for us to be able to use the wealth of pre-trained models in Transformers.
Our preprocessing flow parses raw text and... | {
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https://api.github.com/repos/huggingface/datasets/issues/326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/326/comments | https://api.github.com/repos/huggingface/datasets/issues/326/events | https://github.com/huggingface/datasets/issues/326 | 648,126,103 | MDU6SXNzdWU2NDgxMjYxMDM= | 326 | Large dataset in Squad2-format | {
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"I'm pretty sure you can get some inspiration from the squad_v2 script. It looks like the dataset is quite big so it will take some time for the users to generate it, but it should be reasonable.\r\n\r\nAlso you are saying that you are still making the dataset grow in size right ?\r\nIt's probably good practice to ... | 2020-06-30T12:18:59Z | 2020-07-09T09:01:50Z | 2020-07-09T09:01:50Z | CONTRIBUTOR | null | null | {
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} | At the moment we are building an large question answering dataset and think about sharing it with the huggingface community.
Caused the computing power we splitted it into multiple tiles, but they are all in the same format.
Right now the most important facts about are this:
- Contexts: 1.047.671
- questions: 1.677... | {
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https://api.github.com/repos/huggingface/datasets/issues/324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/324/comments | https://api.github.com/repos/huggingface/datasets/issues/324/events | https://github.com/huggingface/datasets/issues/324 | 647,525,725 | MDU6SXNzdWU2NDc1MjU3MjU= | 324 | Error when calculating glue score | {
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"The glue metric for cola is a metric for classification. It expects label ids as integers as inputs.",
"I want to evaluate a sentence pair whether they are semantically equivalent, so I used MRPC and it gives the same error, does that mean we have to encode the sentences and parse as input?\r\n\r\nusing BertToke... | 2020-06-29T16:53:48Z | 2020-07-09T09:13:34Z | 2020-07-09T09:13:34Z | NONE | null | null | {
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```
import nlp
glue_metric = nlp.load_metric('glue',name="cola")
glue_score = glue_metric.compute(predictions, references)
```
```
---------------------------------------------------------------------------
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https://api.github.com/repos/huggingface/datasets/issues/321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/321/comments | https://api.github.com/repos/huggingface/datasets/issues/321/events | https://github.com/huggingface/datasets/issues/321 | 647,271,526 | MDU6SXNzdWU2NDcyNzE1MjY= | 321 | ERROR:root:mwparserfromhell | {
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"It looks like it comes from `mwparserfromhell`.\r\n\r\nWould it be possible to get the bad `section` that causes this issue ? The `section` string is from `datasets/wikipedia.py:L548` ? You could just add a `try` statement and print the section if the line `section_text.append(section.strip_code().strip())` crashe... | 2020-06-29T11:10:43Z | 2022-02-14T15:21:46Z | 2022-02-14T15:21:46Z | NONE | null | null | {
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} | Hi,
I am trying to download some wikipedia data but I got this error for spanish "es" (but there are maybe some others languages which have the same error I haven't tried all of them ).
`ERROR:root:mwparserfromhell ParseError: This is a bug and should be reported. Info: C tokenizer exited with non-empty token sta... | {
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https://api.github.com/repos/huggingface/datasets/issues/320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/320/comments | https://api.github.com/repos/huggingface/datasets/issues/320/events | https://github.com/huggingface/datasets/issues/320 | 647,188,167 | MDU6SXNzdWU2NDcxODgxNjc= | 320 | Blog Authorship Corpus, Non Matching Splits Sizes Error, nlp viewer | {
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"I wonder if this means downloading failed? That corpus has a really slow server.",
"This dataset seems to have a decoding problem that results in inconsistencies in the number of generated examples.\r\nSee #215.\r\nThat's why we end up with a `NonMatchingSplitsSizesError `."
] | 2020-06-29T07:36:35Z | 2020-06-29T14:44:42Z | 2020-06-29T14:44:42Z | CONTRIBUTOR | null | null | {
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```
NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train', num_bytes=614706451, num_examples=535568, dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/319/comments | https://api.github.com/repos/huggingface/datasets/issues/319/events | https://github.com/huggingface/datasets/issues/319 | 646,792,487 | MDU6SXNzdWU2NDY3OTI0ODc= | 319 | Nested sequences with dicts | {
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"Oh yes, this is a backward compatibility feature with tensorflow_dataset in which a `Sequence` or `dict` is converted in a `dict` of `lists`, unfortunately it is not very intuitive, see here: https://github.com/huggingface/nlp/blob/master/src/nlp/features.py#L409\r\n\r\nTo avoid this behavior, you can just define ... | 2020-06-27T23:45:17Z | 2020-07-03T10:22:00Z | 2020-07-03T10:22:00Z | CONTRIBUTOR | null | null | {
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} | Am pretty much finished [adding a dataset](https://github.com/ghomasHudson/nlp/blob/DocRED/datasets/docred/docred.py) for [DocRED](https://github.com/thunlp/DocRED), but am getting an error when trying to add a nested `nlp.features.sequence(nlp.features.sequence({key:value,...}))`.
The original data is in this form... | {
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https://api.github.com/repos/huggingface/datasets/issues/317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/317/comments | https://api.github.com/repos/huggingface/datasets/issues/317/events | https://github.com/huggingface/datasets/issues/317 | 646,555,384 | MDU6SXNzdWU2NDY1NTUzODQ= | 317 | Adding a dataset with multiple subtasks | {
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"For one dataset you can have different configurations that each have their own `nlp.Features`.\r\nWe imagine having one configuration per subtask for example.\r\nThey are loaded with `nlp.load_dataset(\"my_dataset\", \"my_config\")`.\r\n\r\nFor example the `glue` dataset has many configurations. It is a bit differ... | 2020-06-26T23:14:19Z | 2020-10-27T15:36:52Z | 2020-10-27T15:36:52Z | NONE | null | null | {
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} | I intent to add the datasets of the MT Quality Estimation shared tasks to `nlp`. However, they have different subtasks -- such as word-level, sentence-level and document-level quality estimation, each of which having different language pairs, and some of the data reused in different subtasks.
For example, in [QE 201... | {
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https://api.github.com/repos/huggingface/datasets/issues/312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/312/comments | https://api.github.com/repos/huggingface/datasets/issues/312/events | https://github.com/huggingface/datasets/issues/312 | 645,025,561 | MDU6SXNzdWU2NDUwMjU1NjE= | 312 | [Feature request] Add `shard()` method to dataset | {
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"Hi Jared,\r\nInteresting, thanks for raising this question. You can also do that after loading with `dataset.select()` or `dataset.filter()` which let you keep only a specific subset of rows in a dataset.\r\nWhat is your use-case for sharding?",
"Thanks for the pointer to those functions! It's still a little mor... | 2020-06-24T22:48:33Z | 2020-07-06T12:35:36Z | 2020-07-06T12:35:36Z | CONTRIBUTOR | null | null | {
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} | Currently, to shard a dataset into 10 pieces on different ranks, you can run
```python
rank = 3 # for example
size = 10
dataset = nlp.load_dataset('wikitext', 'wikitext-2-raw-v1', split=f"train[{rank*10}%:{(rank+1)*10}%]")
```
However, this breaks down if you have a number of ranks that doesn't divide cleanly... | {
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https://api.github.com/repos/huggingface/datasets/issues/307 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/307/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/307/comments | https://api.github.com/repos/huggingface/datasets/issues/307/events | https://github.com/huggingface/datasets/issues/307 | 644,187,262 | MDU6SXNzdWU2NDQxODcyNjI= | 307 | Specify encoding for MRPC | {
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} | Same as #242, but with MRPC: on Windows, I get a `UnicodeDecodeError` when I try to download the dataset:
```python
dataset = nlp.load_dataset('glue', 'mrpc')
```
```python
Downloading and preparing dataset glue/mrpc (download: Unknown size, generated: Unknown size, total: Unknown size) to C:\Users\Python\.cache... | {
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https://api.github.com/repos/huggingface/datasets/issues/305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/305/comments | https://api.github.com/repos/huggingface/datasets/issues/305/events | https://github.com/huggingface/datasets/issues/305 | 644,148,149 | MDU6SXNzdWU2NDQxNDgxNDk= | 305 | Importing downloaded package repository fails | {
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} | The `get_imports` function in `src/nlp/load.py` has a feature to download a package as a zip archive of the github repository and import functions from the unpacked directory. This is used for example in the `metrics/coval.py` file, and would be useful to add BLEURT (@ankparikh).
Currently however, the code seems to... | {
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} | When I load more than one metric and try to print doc string of a particular metric,. It shows the doc strings of all imported metric one after the other which looks quite confusing and clumsy.
Attached [Colab](https://colab.research.google.com/drive/13H0ZgyQ2se0mqJ2yyew0bNEgJuHaJ8H3?usp=sharing) Notebook for problem ... | {
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https://api.github.com/repos/huggingface/datasets/issues/302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/302/comments | https://api.github.com/repos/huggingface/datasets/issues/302/events | https://github.com/huggingface/datasets/issues/302 | 643,910,418 | MDU6SXNzdWU2NDM5MTA0MTg= | 302 | Question - Sign Language Datasets | {
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"Even more complicating - \r\n\r\nAs I see it, datasets can have \"addons\".\r\nFor example, the WebNLG dataset is a dataset for data-to-text. However, a work of mine and other works enriched this dataset with text plans / underlying text structures. In that case, I see a need to load the dataset \"WebNLG\" with \"... | 2020-06-23T14:53:40Z | 2020-11-25T11:25:33Z | 2020-11-25T11:25:33Z | CONTRIBUTOR | null | null | {
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} | An emerging field in NLP is SLP - sign language processing.
I was wondering about adding datasets here, specifically because it's shaping up to be large and easily usable.
The metrics for sign language to text translation are the same.
So, what do you think about (me, or others) adding datasets here?
An exa... | {
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https://api.github.com/repos/huggingface/datasets/issues/301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/301/comments | https://api.github.com/repos/huggingface/datasets/issues/301/events | https://github.com/huggingface/datasets/issues/301 | 643,763,525 | MDU6SXNzdWU2NDM3NjM1MjU= | 301 | Setting cache_dir gives error on wikipedia download | {
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"Whoops didn't mean to close this one.\r\nI did some changes, could you try to run it from the master branch ?",
"Now it works, thanks!"
] | 2020-06-23T11:31:44Z | 2020-06-24T07:05:07Z | 2020-06-24T07:05:07Z | NONE | null | null | {
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} | First of all thank you for a super handy library! I'd like to download large files to a specific drive so I set `cache_dir=my_path`. This works fine with e.g. imdb and squad. But on wikipedia I get an error:
```
nlp.load_dataset('wikipedia', '20200501.de', split = 'train', cache_dir=my_path)
```
```
OSError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/297 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/297/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/297/comments | https://api.github.com/repos/huggingface/datasets/issues/297/events | https://github.com/huggingface/datasets/issues/297 | 643,444,625 | MDU6SXNzdWU2NDM0NDQ2MjU= | 297 | Error in Demo for Specific Datasets | {
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"Thanks for reporting these errors :)\r\n\r\nI can actually see two issues here.\r\n\r\nFirst, datasets like `natural_questions` require apache_beam to be processed. Right now the import is not at the right place so we have this error message. However, even the imports are fixed, the nlp viewer doesn't actually hav... | 2020-06-23T00:38:42Z | 2020-07-17T17:43:06Z | 2020-07-17T17:43:06Z | NONE | null | null | {
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} | Selecting `natural_questions` or `newsroom` dataset in the online demo results in an error similar to the following.
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https://api.github.com/repos/huggingface/datasets/issues/296 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/296/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/296/comments | https://api.github.com/repos/huggingface/datasets/issues/296/events | https://github.com/huggingface/datasets/issues/296 | 643,423,717 | MDU6SXNzdWU2NDM0MjM3MTc= | 296 | snli -1 labels | {
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"@jxmorris12 , we use `-1` to label examples for which `gold label` is missing (`gold label = -` in the original dataset). ",
"Thanks @mariamabarham! so the original dataset is missing some labels? That is weird. Is standard practice just to discard those examples training/eval?",
"Yes the original dataset is... | 2020-06-22T23:33:30Z | 2020-06-23T14:41:59Z | 2020-06-23T14:41:58Z | CONTRIBUTOR | null | null | {
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} | I'm trying to train a model on the SNLI dataset. Why does it have so many -1 labels?
```
import nlp
from collections import Counter
data = nlp.load_dataset('snli')['train']
print(Counter(data['label']))
Counter({0: 183416, 2: 183187, 1: 182764, -1: 785})
```
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https://api.github.com/repos/huggingface/datasets/issues/295 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/295/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/295/comments | https://api.github.com/repos/huggingface/datasets/issues/295/events | https://github.com/huggingface/datasets/issues/295 | 643,245,412 | MDU6SXNzdWU2NDMyNDU0MTI= | 295 | Improve input warning for evaluation metrics | {
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} | Hi,
I am the author of `bert_score`. Recently, we received [ an issue ](https://github.com/Tiiiger/bert_score/issues/62) reporting a problem in using `bert_score` from the `nlp` package (also see #238 in this repo). After looking into this, I realized that the problem arises from the format `nlp.Metric` takes inpu... | {
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https://api.github.com/repos/huggingface/datasets/issues/294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/294/comments | https://api.github.com/repos/huggingface/datasets/issues/294/events | https://github.com/huggingface/datasets/issues/294 | 643,181,179 | MDU6SXNzdWU2NDMxODExNzk= | 294 | Cannot load arxiv dataset on MacOS? | {
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"I couldn't replicate this issue on my macbook :/\r\nCould you try to play with different encodings in `with open(path, encoding=...) as f` in scientific_papers.py:L108 ?",
"I was able to track down the file causing the problem by adding the following to `scientific_papers.py` (starting at line 116):\r\n\r\n```py... | 2020-06-22T15:46:55Z | 2020-06-30T15:25:10Z | 2020-06-30T15:25:10Z | CONTRIBUTOR | null | null | {
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} | I am having trouble loading the `"arxiv"` config from the `"scientific_papers"` dataset on MacOS. When I try loading the dataset with:
```python
arxiv = nlp.load_dataset("scientific_papers", "arxiv")
```
I get the following stack trace:
```bash
JSONDecodeError Traceback (most recen... | {
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https://api.github.com/repos/huggingface/datasets/issues/290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/290/comments | https://api.github.com/repos/huggingface/datasets/issues/290/events | https://github.com/huggingface/datasets/issues/290 | 641,978,286 | MDU6SXNzdWU2NDE5NzgyODY= | 290 | ConnectionError - Eli5 dataset download | {
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"It should ne fixed now, thanks for reporting this one :)\r\nIt was an issue on our google storage.\r\n\r\nLet me now if you're still facing this issue.",
"It works now, thanks for prompt help!"
] | 2020-06-19T13:40:33Z | 2020-06-20T13:22:24Z | 2020-06-20T13:22:24Z | NONE | null | null | {
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} | Hi, I have a problem with downloading Eli5 dataset. When typing `nlp.load_dataset('eli5')`, I get ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/eli5/LFQA_reddit/1.0.0/explain_like_im_five-train_eli5.arrow
I would appreciate if you could help me with this issue. | {
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https://api.github.com/repos/huggingface/datasets/issues/288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/288/comments | https://api.github.com/repos/huggingface/datasets/issues/288/events | https://github.com/huggingface/datasets/issues/288 | 641,888,610 | MDU6SXNzdWU2NDE4ODg2MTA= | 288 | Error at the first example in README: AttributeError: module 'dill' has no attribute '_dill' | {
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"It looks like the bug comes from `dill`. Which version of `dill` are you using ?",
"Thank you. It is version 0.2.6, which version is better?",
"0.2.6 is three years old now, maybe try a more recent one, e.g. the current 0.3.2 if you can?",
"Thanks guys! I upgraded dill and it works.",
"Awesome"
] | 2020-06-19T11:01:22Z | 2020-06-21T09:05:11Z | 2020-06-21T09:05:11Z | NONE | null | null | {
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} | /Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:469: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
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} | The citations are all of a different format, some have "```" and have text inside, others are proper bibtex.
Can we make it so that they all are proper citations, i.e. parse by the bibtex spec:
https://bibtexparser.readthedocs.io/en/master/ | {
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https://api.github.com/repos/huggingface/datasets/issues/281 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/281/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/281/comments | https://api.github.com/repos/huggingface/datasets/issues/281/events | https://github.com/huggingface/datasets/issues/281 | 641,067,856 | MDU6SXNzdWU2NDEwNjc4NTY= | 281 | Private/sensitive data | {
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"Hi @MFreidank, you should already be able to load a dataset from local sources, indeed. (ping @lhoestq and @jplu)\r\n\r\nWe're also thinking about the ability to host private datasets on a hosted bucket with permission management, but that's further down the road.",
"Hi @MFreidank, it is possible to load a datas... | 2020-06-18T09:47:27Z | 2020-06-20T13:15:12Z | 2020-06-20T13:15:12Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | Hi all,
Thanks for this fantastic library, it makes it very easy to do prototyping for NLP projects interchangeably between TF/Pytorch.
Unfortunately, there is data that cannot easily be shared publicly as it may contain sensitive information.
Is there support/a plan to support such data with NLP, e.g. by readin... | {
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} | I can't seem to import squad v2 metrics.
**squad_metric = nlp.load_metric('squad_v2')**
**This throws me an error.:**
```
ImportError Traceback (most recent call last)
<ipython-input-8-170b6a170555> in <module>
----> 1 squad_metric = nlp.load_metric('squad_v2')
~/env/lib6... | {
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https://api.github.com/repos/huggingface/datasets/issues/279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/279/comments | https://api.github.com/repos/huggingface/datasets/issues/279/events | https://github.com/huggingface/datasets/issues/279 | 640,611,692 | MDU6SXNzdWU2NDA2MTE2OTI= | 279 | Dataset Preprocessing Cache with .map() function not working as expected | {
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"When you're processing a dataset with `.map`, it checks whether it has already done this computation using a hash based on the function and the input (using some fancy serialization with `dill`). If you found that it doesn't work as expected in some cases, let us know !\r\n\r\nGiven that, you can still force to re... | 2020-06-17T17:17:21Z | 2021-07-06T21:43:28Z | 2021-04-18T23:43:49Z | NONE | null | null | {
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} | I've been having issues with reproducibility when loading and processing datasets with the `.map` function. I was only able to resolve them by clearing all of the cache files on my system.
Is there a way to disable using the cache when processing a dataset? As I make minor processing changes on the same dataset, I ... | {
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"Hi !\r\n\r\nAs you noticed, \"big\" datasets like Wikipedia require apache beam to be processed.\r\nHowever users usually don't have an apache beam runtime available (spark, dataflow, etc.) so our goal for this library is to also make available processed versions of these datasets, so that users can just download ... | 2020-06-17T15:06:21Z | 2020-06-19T12:53:02Z | 2020-06-19T12:53:02Z | NONE | null | null | {
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} | Hi, first off let me say thank you for all the awesome work you're doing at Hugging Face across all your projects (NLP, Transformers, Tokenizers) - they're all amazing contributions to us working with NLP models :)
I'm trying to download the German Wikipedia dataset as follows:
```
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"We are only wrapping the original dataset.\r\n\r\nMaybe try to ask on the GLUE mailing list or reach out to the original authors?",
"Tanks for the suggestion, I'll try to ask GLUE benchmark.\r\nI'll first close the issue, post the following up here afterwards, and reopen the issue if needed. "
] | 2020-06-17T05:54:52Z | 2020-06-21T00:21:45Z | 2020-06-21T00:21:45Z | CONTRIBUTOR | null | null | {
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} | ```
qqp = nlp.load_dataset('glue', 'qqp')
print(qqp['train'][310121])
print(qqp['train'][362225])
```
```
{'question1': 'How can I create an Android app?', 'question2': '', 'label': 0, 'idx': 310137}
{'question1': 'How can I develop android app?', 'question2': '', 'label': 0, 'idx': 362246}
```
Notice that que... | {
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https://api.github.com/repos/huggingface/datasets/issues/275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/275/comments | https://api.github.com/repos/huggingface/datasets/issues/275/events | https://github.com/huggingface/datasets/issues/275 | 639,439,052 | MDU6SXNzdWU2Mzk0MzkwNTI= | 275 | NonMatchingChecksumError when loading pubmed dataset | {
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"For some reason the files are not available for unauthenticated users right now (like the download service of this package). Instead of downloading the right files, it downloads the html of the error.\r\nAccording to the error it should be back again in 24h.\r\n\r\n![image](https://user-images.githubusercontent.co... | 2020-06-16T07:31:51Z | 2020-06-19T07:37:07Z | 2020-06-19T07:37:07Z | NONE | null | null | {
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} | I get this error when i run `nlp.load_dataset('scientific_papers', 'pubmed', split = 'train[:50%]')`.
The error is:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
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"Sounds good! Do you want to give it a try?",
"Ok, I'll see if I can figure it out tomorrow!",
"Got around to this today, and so far so good, I'm able to download and load pg19 locally. However, I think there may be an issue with the dummy data, and testing in general.\r\n\r\nThe problem lies in the fact that e... | 2020-06-15T21:02:26Z | 2020-07-06T15:35:02Z | 2020-07-06T15:35:02Z | CONTRIBUTOR | null | null | {
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} | Hi, and thanks for all your open-sourced work, as always!
I was wondering if you would be open to adding PG-19 to your collection of datasets. https://github.com/deepmind/pg19 It is often used for benchmarking long-range language modeling. | {
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"C4 is too large to be shown in the viewer"
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```python
ModuleNotFoundError: No module named 'langdetect'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__d... | {
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} | I'm running into an error using metrics for computation in the latest master as well as version 0.2.1. Here is a minimal example:
```python
import nlp
rte_metric = nlp.load_metric('glue', name="rte")
rte_metric.compute(
[0, 0, 1, 1],
[0, 1, 0, 1],
)
```
```
181 # Read the predictio... | {
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"I will take a look :-) "
] | 2020-06-12T01:09:37Z | 2020-06-19T08:24:19Z | 2020-06-19T08:24:19Z | CONTRIBUTOR | null | null | {
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} | I believe it is from `wmt16`
When I run
```python
wmt = nlp.load_dataset('wmt16')
```
I get:
```python
AssertionError: The dataset wmt16 with config cs-en requires manual data.
Please follow the manual download instructions: Some of the wmt configs here, require a manual download.
Please look into wm... | {
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https://api.github.com/repos/huggingface/datasets/issues/263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/263/comments | https://api.github.com/repos/huggingface/datasets/issues/263/events | https://github.com/huggingface/datasets/issues/263 | 637,028,015 | MDU6SXNzdWU2MzcwMjgwMTU= | 263 | [Feature request] Support for external modality for language datasets | {
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"Thanks a lot, @aleSuglia for the very detailed and introductive feature request.\r\nIt seems like we could build something pretty useful here indeed.\r\n\r\nOne of the questions here is that Arrow doesn't have built-in support for generic \"tensors\" in records but there might be ways to do that in a clean way. We... | 2020-06-11T13:42:18Z | 2022-02-10T13:26:35Z | 2022-02-10T13:26:35Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | # Background
In recent years many researchers have advocated that learning meanings from text-based only datasets is just like asking a human to "learn to speak by listening to the radio" [[E. Bender and A. Koller,2020](https://openreview.net/forum?id=GKTvAcb12b), [Y. Bisk et. al, 2020](https://arxiv.org/abs/2004.10... | {
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https://api.github.com/repos/huggingface/datasets/issues/261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/261/comments | https://api.github.com/repos/huggingface/datasets/issues/261/events | https://github.com/huggingface/datasets/issues/261 | 636,372,380 | MDU6SXNzdWU2MzYzNzIzODA= | 261 | Downloading dataset error with pyarrow.lib.RecordBatch | {
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"When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:\r\n```\r\nWARNING: The following packages were previously imported in this runtime:\r\n [pyarrow]\r\nYou must restart the runtime in order to use newly... | 2020-06-10T16:04:19Z | 2020-06-11T14:35:12Z | 2020-06-11T14:35:12Z | NONE | null | null | {
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} | I am trying to download `sentiment140` and I have the following error
```
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=... | {
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https://api.github.com/repos/huggingface/datasets/issues/259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/259/comments | https://api.github.com/repos/huggingface/datasets/issues/259/events | https://github.com/huggingface/datasets/issues/259 | 636,239,529 | MDU6SXNzdWU2MzYyMzk1Mjk= | 259 | documentation missing how to split a dataset | {
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"this seems to work for my specific problem:\r\n\r\n`self.train_ds, self.test_ds, self.val_ds = map(_prepare_ds, ('train', 'test[:25%]+test[50%:75%]', 'test[75%:]'))`",
"Currently you can indeed split a dataset using `ds_test = nlp.load_dataset('imdb, split='test[:5000]')` (works also with percentages).\r\n\r\nHo... | 2020-06-10T13:18:13Z | 2023-03-14T13:56:07Z | 2020-06-18T22:20:24Z | NONE | null | null | {
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} | I am trying to understand how to split a dataset ( as arrow_dataset).
I know I can do something like this to access a split which is already in the original dataset :
`ds_test = nlp.load_dataset('imdb, split='test') `
But how can I split ds_test into a test and a validation set (without reading the data into m... | {
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https://api.github.com/repos/huggingface/datasets/issues/258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/258/comments | https://api.github.com/repos/huggingface/datasets/issues/258/events | https://github.com/huggingface/datasets/issues/258 | 635,859,525 | MDU6SXNzdWU2MzU4NTk1MjU= | 258 | Why is dataset after tokenization far more larger than the orginal one ? | {
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"Hi ! This is because `.map` added the new column `input_ids` to the dataset, and so all the other columns were kept. Therefore the dataset size increased a lot.\r\n If you want to only keep the `input_ids` column, you can stash the other ones by specifying `remove_columns=[\"title\", \"text\"]` in the arguments of... | 2020-06-10T01:27:07Z | 2020-06-10T12:46:34Z | 2020-06-10T12:46:34Z | CONTRIBUTOR | null | null | {
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} | I tokenize wiki dataset by `map` and cache the results.
```
def tokenize_tfm(example):
example['input_ids'] = hf_fast_tokenizer.convert_tokens_to_ids(hf_fast_tokenizer.tokenize(example['text']))
return example
wiki = nlp.load_dataset('wikipedia', '20200501.en', cache_dir=cache_dir)['train']
wiki.map(token... | {
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https://api.github.com/repos/huggingface/datasets/issues/257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/257/comments | https://api.github.com/repos/huggingface/datasets/issues/257/events | https://github.com/huggingface/datasets/issues/257 | 635,620,979 | MDU6SXNzdWU2MzU2MjA5Nzk= | 257 | Tokenizer pickling issue fix not landed in `nlp` yet? | {
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"Yes, the new release of tokenizers solves this and should be out soon.\r\nIn the meantime, you can install it with `pip install tokenizers==0.8.0-dev2`",
"If others run into this issue, a quick fix is to use python 3.6 instead of 3.7+. Serialization differences between the 3rd party `dataclasses` package for 3.6... | 2020-06-09T17:12:34Z | 2020-06-10T21:45:32Z | 2020-06-09T17:26:53Z | NONE | null | null | {
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} | Unless I recreate an arrow_dataset from my loaded nlp dataset myself (which I think does not use the cache by default), I get the following error when applying the map function:
```
dataset = nlp.load_dataset('cos_e')
tokenizer = GPT2TokenizerFast.from_pretrained('gpt2', cache_dir=cache_dir)
for split in datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/256/comments | https://api.github.com/repos/huggingface/datasets/issues/256/events | https://github.com/huggingface/datasets/issues/256 | 635,596,295 | MDU6SXNzdWU2MzU1OTYyOTU= | 256 | [Feature request] Add a feature to dataset | {
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"Do you have an example of what you would like to do? (you can just add a field in the output of the unction you give to map and this will add this field in the output table)",
"Given another source of data loaded in, I want to pre-add it to the dataset so that it aligns with the indices of the arrow dataset prio... | 2020-06-09T16:38:12Z | 2020-06-09T16:51:42Z | 2020-06-09T16:51:42Z | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/254/comments | https://api.github.com/repos/huggingface/datasets/issues/254/events | https://github.com/huggingface/datasets/issues/254 | 635,057,568 | MDU6SXNzdWU2MzUwNTc1Njg= | 254 | [Feature request] Be able to remove a specific sample of the dataset | {
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"Oh yes you can now do that with the `dataset.filter()` method that was added in #214 "
] | 2020-06-09T02:22:13Z | 2020-06-09T08:41:38Z | 2020-06-09T08:41:38Z | NONE | null | null | {
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} | As mentioned in #117, it's currently not possible to remove a sample of the dataset.
But it is a important use case : After applying some preprocessing, some samples might be empty for example. We should be able to remove these samples from the dataset, or at least mark them as `removed` so when iterating the datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/252/comments | https://api.github.com/repos/huggingface/datasets/issues/252/events | https://github.com/huggingface/datasets/issues/252 | 634,563,239 | MDU6SXNzdWU2MzQ1NjMyMzk= | 252 | NonMatchingSplitsSizesError error when reading the IMDB dataset | {
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"I just tried on my side and I didn't encounter your problem.\r\nApparently the script doesn't generate all the examples on your side.\r\n\r\nCan you provide the version of `nlp` you're using ?\r\nCan you try to clear your cache and re-run the code ?",
"I updated it, that was it, thanks!",
"Hello, I am facing t... | 2020-06-08T12:26:24Z | 2021-08-27T15:20:58Z | 2020-06-08T14:01:26Z | NONE | null | null | {
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I am trying to load the `imdb` dataset with this line:
`dataset = nlp.load_dataset('imdb', data_dir='/A/PATH', cache_dir='/A/PATH')`
but I am getting the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/mounts/Users/cisintern/antmarakis/anaconda3/... | {
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https://api.github.com/repos/huggingface/datasets/issues/249 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/249/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/249/comments | https://api.github.com/repos/huggingface/datasets/issues/249/events | https://github.com/huggingface/datasets/issues/249 | 633,393,443 | MDU6SXNzdWU2MzMzOTM0NDM= | 249 | [Dataset created] some critical small issues when I was creating a dataset | {
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"Thanks for noticing all these :) They should be easy to fix indeed",
"Alright I think I fixed all the problems you mentioned. Thanks again, that will be useful for many people.\r\nThere is still more work needed for point 7. but we plan to have some nice docs soon."
] | 2020-06-07T12:58:54Z | 2020-06-12T08:28:51Z | 2020-06-12T08:28:51Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | Hi, I successfully created a dataset and has made a pr #248.
But I have encountered several problems when I was creating it, and those should be easy to fix.
1. Not found dataset_info.json
should be fixed by #241 , eager to wait it be merged.
2. Forced to install `apach_beam`
If we should install it, then it m... | {
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https://api.github.com/repos/huggingface/datasets/issues/246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/246/comments | https://api.github.com/repos/huggingface/datasets/issues/246/events | https://github.com/huggingface/datasets/issues/246 | 632,380,054 | MDU6SXNzdWU2MzIzODAwNTQ= | 246 | What is the best way to cache a dataset? | {
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"Everything is already cached by default in 🤗nlp (in particular dataset\nloading and all the “map()” operations) so I don’t think you need to do any\nspecific caching in streamlit.\n\nTell us if you feel like it’s not the case.\n\nOn Sat, 6 Jun 2020 at 13:02, Fabrizio Milo <notifications@github.com> wrote:\n\n> Fo... | 2020-06-06T11:02:07Z | 2020-07-09T09:15:07Z | 2020-07-09T09:15:07Z | NONE | null | null | {
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} | For example if I want to use streamlit with a nlp dataset:
```
@st.cache
def load_data():
return nlp.load_dataset('squad')
```
This code raises the error "uncachable object"
Right now I just fixed with a constant for my specific case:
```
@st.cache(hash_funcs={pyarrow.lib.Buffer: lambda b: 0})
```... | {
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https://api.github.com/repos/huggingface/datasets/issues/245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/245/comments | https://api.github.com/repos/huggingface/datasets/issues/245/events | https://github.com/huggingface/datasets/issues/245 | 631,985,108 | MDU6SXNzdWU2MzE5ODUxMDg= | 245 | SST-2 test labels are all -1 | {
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"this also happened to me with `nlp.load_dataset('glue', 'mnli')`",
"Yes, this is because the test sets for glue are hidden so the labels are\nnot publicly available. You can read the glue paper for more details.\n\nOn Sat, 6 Jun 2020 at 18:16, Jack Morris <notifications@github.com> wrote:\n\n> this also happened... | 2020-06-05T21:41:42Z | 2021-12-08T00:47:32Z | 2020-06-06T16:56:41Z | CONTRIBUTOR | null | null | {
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} | I'm trying to test a model on the SST-2 task, but all the labels I see in the test set are -1.
```
>>> import nlp
>>> glue = nlp.load_dataset('glue', 'sst2')
>>> glue
{'train': Dataset(schema: {'sentence': 'string', 'label': 'int64', 'idx': 'int32'}, num_rows: 67349), 'validation': Dataset(schema: {'sentence': 'st... | {
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https://api.github.com/repos/huggingface/datasets/issues/242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/242/comments | https://api.github.com/repos/huggingface/datasets/issues/242/events | https://github.com/huggingface/datasets/issues/242 | 631,733,683 | MDU6SXNzdWU2MzE3MzM2ODM= | 242 | UnicodeDecodeError when downloading GLUE-MNLI | {
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"It should be good now, thanks for noticing and fixing it ! I would say that it was because you are on windows but not 100% sure",
"On Windows Python supports Unicode almost everywhere, but one of the notable exceptions is open() where it uses the locale encoding schema. So platform independent python scripts wou... | 2020-06-05T16:30:01Z | 2020-06-09T16:06:47Z | 2020-06-08T08:45:03Z | CONTRIBUTOR | null | null | {
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} | When I run
```python
dataset = nlp.load_dataset('glue', 'mnli')
```
I get an encoding error (could it be because I'm using Windows?) :
```python
# Lots of error log lines later...
~\Miniconda3\envs\nlp\lib\site-packages\tqdm\std.py in __iter__(self)
1128 try:
-> 1129 for obj in iterable:... | {
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https://api.github.com/repos/huggingface/datasets/issues/240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/240/comments | https://api.github.com/repos/huggingface/datasets/issues/240/events | https://github.com/huggingface/datasets/issues/240 | 631,434,677 | MDU6SXNzdWU2MzE0MzQ2Nzc= | 240 | Deterministic dataset loading | {
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"Yes good point !",
"I think using `sorted(glob.glob())` would actually solve this problem. Can you think of other reasons why dataset loading might not be deterministic? @mariamabarham @yjernite @lhoestq @thomwolf . \r\n\r\nI can do a sweep through the dataset scripts and fix the glob.glob() if you guys are ok w... | 2020-06-05T09:03:26Z | 2020-06-08T09:18:14Z | 2020-06-08T09:18:14Z | CONTRIBUTOR | null | null | {
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} | When calling:
```python
import nlp
dataset = nlp.load_dataset("trivia_qa", split="validation[:1%]")
```
the resulting dataset is not deterministic over different google colabs.
After talking to @thomwolf, I suspect the reason to be the use of `glob.glob` in line:
https://github.com/huggingface/nlp/blob/2e0... | {
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"I think you can just `rm` this directory and it should be good :)",
"@lhoestq - this seems to happen quite often (already the 2nd issue). Can we maybe delete this automatically?",
"Yes I have an idea of what's going on. I'm sure I can fix that",
"Hi, I rebase my local copy to `fix-empty-cache-dir`, and try t... | 2020-06-05T06:15:04Z | 2020-06-07T13:01:04Z | 2020-06-07T13:01:04Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | Hi, I am trying to create Toronto Book Corpus. #131
I ran
`~/nlp % python nlp-cli test datasets/bookcorpus --save_infos --all_configs`
but this doesn't create `dataset_info.json` and try to use it
```
INFO:nlp.load:Checking datasets/bookcorpus/bookcorpus.py for additional imports.
INFO:filelock:Lock 1397953257... | {
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"This print statement comes from the official implementation of bert_score (see [here](https://github.com/Tiiiger/bert_score/blob/master/bert_score/utils.py#L343)). The warning shows up only if the attention mask outputs no candidate.\r\nRight now we want to only use official code for metrics to have fair evaluatio... | 2020-06-05T02:14:47Z | 2020-06-29T17:10:19Z | 2020-06-29T17:10:19Z | NONE | null | null | {
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} | When running BERT-Score, I'm meeting this warning :
> Warning: Empty candidate sentence; Setting recall to be 0.
Code :
```
import nlp
metric = nlp.load_metric("bertscore")
scores = metric.compute(["swag", "swags"], ["swags", "totally something different"], lang="en", device=0)
```
---
**What am I do... | {
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"You should use `load_dataset('glue', 'mnli')`",
"Thanks! I thought I had to use the same code displayed in the live viewer:\r\n```python\r\n!pip install nlp\r\nfrom nlp import load_dataset\r\ndataset = load_dataset('multi_nli', 'plain_text')\r\n```\r\nYour suggestion works, even if then I got a different issue (... | 2020-06-04T23:05:21Z | 2020-06-06T10:51:34Z | 2020-06-06T10:51:34Z | CONTRIBUTOR | null | null | {
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```python
dataset = load_dataset('multi_nli')
```
I get this long error:
```python
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-13-3b11f6be4cb9> in <m... | {
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https://api.github.com/repos/huggingface/datasets/issues/234 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/234/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/234/comments | https://api.github.com/repos/huggingface/datasets/issues/234/events | https://github.com/huggingface/datasets/issues/234 | 630,534,427 | MDU6SXNzdWU2MzA1MzQ0Mjc= | 234 | Huggingface NLP, Uploading custom dataset | {
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"What do you mean 'custom' ? You may want to elaborate on it when ask a question.\r\n\r\nAnyway, there are two things you may interested\r\n`nlp.Dataset.from_file` and `load_dataset(..., cache_dir=)`",
"To load a dataset you need to have a script that defines the format of the examples, the splits and the way to ... | 2020-06-04T05:59:06Z | 2020-07-06T09:33:26Z | 2020-07-06T09:33:26Z | NONE | null | null | {
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Does anyone know how we can call our custom dataset using the nlp.load command? Let's say that I have a dataset based on the same format as that of squad-v1.1, how am I supposed to load it using huggingface nlp.
Thank you! | {
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https://api.github.com/repos/huggingface/datasets/issues/233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/233/comments | https://api.github.com/repos/huggingface/datasets/issues/233/events | https://github.com/huggingface/datasets/issues/233 | 630,432,132 | MDU6SXNzdWU2MzA0MzIxMzI= | 233 | Fail to download c4 english corpus | {
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"Hello ! Thanks for noticing this bug, let me fix that.\r\n\r\nAlso for information, as specified in the changelog of the latest release, C4 currently needs to have a runtime for apache beam to work on. Apache beam is used to process this very big dataset and it can work on dataflow, spark, flink, apex, etc. You ca... | 2020-06-04T01:06:38Z | 2021-01-08T07:17:32Z | 2020-06-08T09:16:59Z | NONE | null | null | {
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} | i run following code to download c4 English corpus.
```
dataset = nlp.load_dataset('c4', 'en', beam_runner='DirectRunner'
, data_dir='/mypath')
```
and i met failure as follows
```
Downloading and preparing dataset c4/en (download: Unknown size, generated: Unknown size, total: Unknown size) to /home/adam/.... | {
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https://api.github.com/repos/huggingface/datasets/issues/228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/228/comments | https://api.github.com/repos/huggingface/datasets/issues/228/events | https://github.com/huggingface/datasets/issues/228 | 629,952,402 | MDU6SXNzdWU2Mjk5NTI0MDI= | 228 | Not able to access the XNLI dataset | {
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"Added pull request to change the name of the file from dataset_infos.json to dataset_info.json",
"Thanks for reporting this bug !\r\nAs it seems to be just a cache problem, I closed your PR.\r\nI think we might just need to clear and reload the `xnli` cache @srush ? ",
"Update: The dataset_info.json error is g... | 2020-06-03T12:25:14Z | 2020-07-17T17:44:22Z | 2020-07-17T17:44:22Z | NONE | null | null | {
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} | When I try to access the XNLI dataset, I get the following error. The option of plain_text get selected automatically and then I get the following error.
```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
File "/... | {
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"Thanks for your message 😊 \r\nIndeed users shouldn't have to install those dependencies",
"Got it, feel free to close this issue when you think it’s resolved.",
"It should be good now :)"
] | 2020-06-03T09:33:20Z | 2020-06-03T15:25:41Z | 2020-06-03T15:25:41Z | CONTRIBUTOR | null | null | {
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} | Hi, first thanks to @lhoestq 's revolutionary work, I successfully downloaded processed wikipedia according to the doc. 😍😍😍
But at the first try, it tell me to install `apache_beam` and `mwparserfromhell`, which I thought wouldn't be used according to #204 , it was kind of confusing me at that time.
Maybe we s... | {
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https://api.github.com/repos/huggingface/datasets/issues/225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/225/comments | https://api.github.com/repos/huggingface/datasets/issues/225/events | https://github.com/huggingface/datasets/issues/225 | 628,083,366 | MDU6SXNzdWU2MjgwODMzNjY= | 225 | [ROUGE] Different scores with `files2rouge` | {
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"@Colanim unfortunately there are different implementations of the ROUGE metric floating around online which yield different results, and we had to chose one for the package :) We ended up including the one from the google-research repository, which does minimal post-processing before computing the P/R/F scores. If... | 2020-06-01T00:50:36Z | 2020-06-03T15:27:18Z | 2020-06-03T15:27:18Z | NONE | null | null | {
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} | It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.145743337761... | {
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"Is there any update on this? \r\n\r\nThanks!",
"Hitting this error when using bleurt with PyTorch ...\r\n\r\n```\r\nUnrecognizedFlagError: Unknown command line flag 'f'\r\n```\r\n... and I'm assuming because it was built for TF specifically. Is there a way to use this metric in PyTorch?",
"We currently provid... | 2020-05-30T18:30:40Z | 2023-08-26T17:38:48Z | 2021-01-04T09:53:32Z | NONE | null | null | {
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} | Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Tw... | {
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"Hi @lbourdois, yes please share it with us",
"@mariamabarham \r\nI put all the datasets on this drive: https://1drv.ms/u/s!Ao2Rcpiny7RFinDypq7w-LbXcsx9?e=iVsEDh\r\n\r\n\r\nSome information : \r\n• For FLUE, the quote used is\r\n\r\n> @misc{le2019flaubert,\r\n> title={FlauBERT: Unsupervised Language Model Pre... | 2020-05-30T08:52:15Z | 2020-12-03T13:39:33Z | 2020-12-03T13:39:33Z | NONE | null | null | {
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} | Hi,
I think it would be interesting to add the FLUE dataset for francophones or anyone wishing to work on French.
In other requests, I read that you are already working on some datasets, and I was wondering if FLUE was planned.
If it is not the case, I can provide each of the cleaned FLUE datasets (in the form... | {
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"The notebook forces version 0.1.0. If I use the latest, things work, I'll run the whole notebook and create a PR.\r\n\r\nBut in the meantime, this issue gets fixed by changing:\r\n`!pip install nlp==0.1.0`\r\nto\r\n`!pip install nlp`",
"It still breaks very near the end\r\n\r\n![image](https://user-images.github... | 2020-05-29T22:55:59Z | 2020-06-04T00:21:05Z | 2020-06-04T00:21:05Z | NONE | null | null | {
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https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
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https://api.github.com/repos/huggingface/datasets/issues/216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/216/comments | https://api.github.com/repos/huggingface/datasets/issues/216/events | https://github.com/huggingface/datasets/issues/216 | 626,896,890 | MDU6SXNzdWU2MjY4OTY4OTA= | 216 | ❓ How to get ROUGE-2 with the ROUGE metric ? | {
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"ROUGE-1 and ROUGE-L shouldn't return the same thing. This is weird",
"For the rouge2 metric you can do\r\n\r\n```python\r\nrouge = nlp.load_metric('rouge')\r\nwith open(\"pred.txt\") as p, open(\"ref.txt\") as g:\r\n for lp, lg in zip(p, g):\r\n rouge.add(lp, lg)\r\nscore = rouge.compute(rouge_types=[\... | 2020-05-28T23:47:32Z | 2020-06-01T00:04:35Z | 2020-06-01T00:04:35Z | NONE | null | null | {
"completed": 0,
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} | I'm trying to use ROUGE metric, but I don't know how to get the ROUGE-2 metric.
---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
```
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https://api.github.com/repos/huggingface/datasets/issues/215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/215/comments | https://api.github.com/repos/huggingface/datasets/issues/215/events | https://github.com/huggingface/datasets/issues/215 | 626,867,879 | MDU6SXNzdWU2MjY4Njc4Nzk= | 215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | {
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{
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"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
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"I just ran it on colab and got this\r\n```\r\n[{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812,\r\ndataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train',\r\nnum_bytes=611607465, num_examples=533285, dataset_name='blog_authorship_corpus')},\r\n{'expected': SplitInf... | 2020-05-28T22:55:19Z | 2025-01-04T00:03:12Z | 2022-02-10T13:05:45Z | NONE | null | null | {
"completed": 0,
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} | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded... | {
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https://api.github.com/repos/huggingface/datasets/issues/211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/211/comments | https://api.github.com/repos/huggingface/datasets/issues/211/events | https://github.com/huggingface/datasets/issues/211 | 626,565,994 | MDU6SXNzdWU2MjY1NjU5OTQ= | 211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | {
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"Here the full error trace:\r\n\r\n```\r\nArrowInvalid Traceback (most recent call last)\r\n<ipython-input-1-7aaf3f011358> in <module>\r\n 1 import nlp\r\n 2 ds = nlp.load_dataset(\"trivia_qa\", \"rc\", split=\"validation[:1%]\") # this might take 2.3 min to download but it's... | 2020-05-28T14:38:14Z | 2020-07-23T10:15:16Z | 2020-07-23T10:15:16Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
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https://api.github.com/repos/huggingface/datasets/issues/207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/207/comments | https://api.github.com/repos/huggingface/datasets/issues/207/events | https://github.com/huggingface/datasets/issues/207 | 625,932,200 | MDU6SXNzdWU2MjU5MzIyMDA= | 207 | Remove test set from NLP viewer | {
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"~is the viewer also open source?~\r\n[is a streamlit app!](https://docs.streamlit.io/en/latest/getting_started.html)",
"Appears that [two thirds of those polled on Twitter](https://twitter.com/srush_nlp/status/1265734497632477185) are in favor of _some_ mechanism for averting eyeballs from the test data.",
"We... | 2020-05-27T18:32:07Z | 2022-02-10T13:17:45Z | 2022-02-10T13:17:45Z | NONE | null | null | {
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} | While the new [NLP viewer](https://huggingface.co/nlp/viewer/) is a great tool, I think it would be best to outright remove the option of looking at the test sets. At the very least, a warning should be displayed to users before showing the test set. Newcomers to the field might not be aware of best practices, and smal... | {
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https://api.github.com/repos/huggingface/datasets/issues/206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/206/comments | https://api.github.com/repos/huggingface/datasets/issues/206/events | https://github.com/huggingface/datasets/issues/206 | 625,842,989 | MDU6SXNzdWU2MjU4NDI5ODk= | 206 | [Question] Combine 2 datasets which have the same columns | {
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"We are thinking about ways to combine datasets for T5 in #217, feel free to share your thoughts about this.",
"Ok great! I will look at it. Thanks"
] | 2020-05-27T16:25:52Z | 2020-06-10T09:11:14Z | 2020-06-10T09:11:14Z | CONTRIBUTOR | null | null | {
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} | Hi,
I am using ``nlp`` to load personal datasets. I created summarization datasets in multi-languages based on wikinews. I have one dataset for english and one for german (french is getting to be ready as well). I want to keep these datasets independent because they need different pre-processing (add different task-... | {
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https://api.github.com/repos/huggingface/datasets/issues/202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/202/comments | https://api.github.com/repos/huggingface/datasets/issues/202/events | https://github.com/huggingface/datasets/issues/202 | 625,493,983 | MDU6SXNzdWU2MjU0OTM5ODM= | 202 | Mistaken `_KWARGS_DESCRIPTION` for XNLI metric | {
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"Indeed, good catch ! thanks\r\nFixing it right now"
] | 2020-05-27T08:34:42Z | 2020-05-28T13:22:36Z | 2020-05-28T13:22:36Z | NONE | null | null | {
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} | Hi!
The [`_KWARGS_DESCRIPTION`](https://github.com/huggingface/nlp/blob/7d0fa58641f3f462fb2861dcdd6ce7f0da3f6a56/metrics/xnli/xnli.py#L45) for the XNLI metric uses `Args` and `Returns` text from [BLEU](https://github.com/huggingface/nlp/blob/7d0fa58641f3f462fb2861dcdd6ce7f0da3f6a56/metrics/bleu/bleu.py#L58) metric:
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https://api.github.com/repos/huggingface/datasets/issues/198 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/198/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/198/comments | https://api.github.com/repos/huggingface/datasets/issues/198/events | https://github.com/huggingface/datasets/issues/198 | 625,200,627 | MDU6SXNzdWU2MjUyMDA2Mjc= | 198 | Index outside of table length | {
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"Sounds like something related to the nlp viewer @srush ",
"Fixed. "
] | 2020-05-26T21:09:40Z | 2020-05-26T22:43:49Z | 2020-05-26T22:43:49Z | NONE | null | null | {
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} | The offset input box warns of numbers larger than a limit (like 2000) but then the errors start at a smaller value than that limit (like 1955).
> ValueError: Index (2000) outside of table length (2000).
> Traceback:
> File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _ru... | {
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https://api.github.com/repos/huggingface/datasets/issues/197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/197/comments | https://api.github.com/repos/huggingface/datasets/issues/197/events | https://github.com/huggingface/datasets/issues/197 | 624,966,904 | MDU6SXNzdWU2MjQ5NjY5MDQ= | 197 | Scientific Papers only downloading Pubmed | {
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"Hi so there are indeed two configurations in the datasets as you can see [here](https://github.com/huggingface/nlp/blob/master/datasets/scientific_papers/scientific_papers.py#L81-L82).\r\n\r\nYou can load either one with:\r\n```python\r\ndataset = nlp.load_dataset('scientific_papers', 'pubmed')\r\ndataset = nlp.lo... | 2020-05-26T15:18:47Z | 2020-05-28T08:19:28Z | 2020-05-28T08:19:28Z | NONE | null | null | {
"completed": 0,
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} | Hi!
I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloading: 10... | {
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https://api.github.com/repos/huggingface/datasets/issues/193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/193/comments | https://api.github.com/repos/huggingface/datasets/issues/193/events | https://github.com/huggingface/datasets/issues/193 | 624,655,558 | MDU6SXNzdWU2MjQ2NTU1NTg= | 193 | [Tensorflow] Use something else than `from_tensor_slices()` | {
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"I guess we can use `tf.data.Dataset.from_generator` instead. I'll give it a try.",
"Is `tf.data.Dataset.from_generator` working on TPU ?",
"`from_generator` is not working on TPU, I met the following error :\r\n\r\n```\r\nFile \"/usr/local/lib/python3.6/contextlib.py\", line 88, in __exit__\r\n next(self.ge... | 2020-05-26T07:19:14Z | 2020-10-27T15:28:11Z | 2020-10-27T15:28:11Z | NONE | null | null | {
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} | In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
label... | {
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https://api.github.com/repos/huggingface/datasets/issues/192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/192/comments | https://api.github.com/repos/huggingface/datasets/issues/192/events | https://github.com/huggingface/datasets/issues/192 | 624,397,592 | MDU6SXNzdWU2MjQzOTc1OTI= | 192 | [Question] Create Apache Arrow dataset from raw text file | {
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"We store every dataset in the Arrow format. This is convenient as it supports nested types and memory mapping. If you are curious feel free to check the [pyarrow documentation](https://arrow.apache.org/docs/python/)\r\n\r\nYou can use this library to load your covid papers by creating a dataset script. You can fin... | 2020-05-25T16:42:47Z | 2021-12-18T01:45:34Z | 2020-10-27T15:20:22Z | CONTRIBUTOR | null | null | {
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} | Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add i... | {
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https://api.github.com/repos/huggingface/datasets/issues/189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/189/comments | https://api.github.com/repos/huggingface/datasets/issues/189/events | https://github.com/huggingface/datasets/issues/189 | 624,048,881 | MDU6SXNzdWU2MjQwNDg4ODE= | 189 | [Question] BERT-style multiple choice formatting | {
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"Hi @sarahwie, can you details this a little more?\r\n\r\nI'm not sure I understand what you refer to and what you mean when you say \"Previously, this was done by passing a list of InputFeatures to the dataloader instead of a list of InputFeature\"",
"I think I've resolved it. For others' reference: to convert f... | 2020-05-25T05:11:05Z | 2020-05-25T18:38:28Z | 2020-05-25T18:38:28Z | NONE | null | null | {
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} | Hello, I am wondering what the equivalent formatting of a dataset should be to allow for multiple-choice answering prediction, BERT-style. Previously, this was done by passing a list of `InputFeatures` to the dataloader instead of a list of `InputFeature`, where `InputFeatures` contained lists of length equal to the nu... | {
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https://api.github.com/repos/huggingface/datasets/issues/188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/188/comments | https://api.github.com/repos/huggingface/datasets/issues/188/events | https://github.com/huggingface/datasets/issues/188 | 623,890,430 | MDU6SXNzdWU2MjM4OTA0MzA= | 188 | When will the remaining math_dataset modules be added as dataset objects | {
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"On a similar note it would be nice to differentiate between train-easy, train-medium, and train-hard",
"Hi @tylerroost, we don't have a timeline for this at the moment.\r\nIf you want to give it a look we would be happy to review a PR on it.\r\nAlso, the library is one week old so everything is quite barebones, ... | 2020-05-24T15:46:52Z | 2020-05-24T18:53:48Z | 2020-05-24T18:53:48Z | NONE | null | null | {
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} | Currently only the algebra_linear_1d is supported. Is there a timeline for making the other modules supported. If no timeline is established, how can I help? | {
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https://api.github.com/repos/huggingface/datasets/issues/187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/187/comments | https://api.github.com/repos/huggingface/datasets/issues/187/events | https://github.com/huggingface/datasets/issues/187 | 623,627,800 | MDU6SXNzdWU2MjM2Mjc4MDA= | 187 | [Question] How to load wikipedia ? Beam runner ? | {
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"I have seen that somebody is hard working on easierly loadable wikipedia. #129 \r\nMaybe I should wait a few days for that version ?",
"Yes we (well @lhoestq) are very actively working on this."
] | 2020-05-23T10:18:52Z | 2020-05-25T00:12:02Z | 2020-05-25T00:12:02Z | CONTRIBUTOR | null | null | {
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} | When `nlp.load_dataset('wikipedia')`, I got
* `WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values will be ... | {
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https://api.github.com/repos/huggingface/datasets/issues/186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/186/comments | https://api.github.com/repos/huggingface/datasets/issues/186/events | https://github.com/huggingface/datasets/issues/186 | 623,595,180 | MDU6SXNzdWU2MjM1OTUxODA= | 186 | Weird-ish: Not creating unique caches for different phases | {
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"Looks like a duplicate of #120.\r\nThis is already fixed on master. We'll do a new release on pypi soon",
"Good catch, it looks fixed.\r\n"
] | 2020-05-23T06:40:58Z | 2020-05-23T20:22:18Z | 2020-05-23T20:22:17Z | NONE | null | null | {
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} | Sample code:
```python
import nlp
dataset = nlp.load_dataset('boolq')
def func1(x):
return x
def func2(x):
return None
train_output = dataset["train"].map(func1)
valid_output = dataset["validation"].map(func1)
print()
print(len(train_output), len(valid_output))
# Output: 9427 9427
```
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/183/comments | https://api.github.com/repos/huggingface/datasets/issues/183/events | https://github.com/huggingface/datasets/issues/183 | 623,054,270 | MDU6SXNzdWU2MjMwNTQyNzA= | 183 | [Bug] labels of glue/ax are all -1 | {
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"This is the test set given by the Glue benchmark. The labels are not provided, and therefore set to -1.",
"Ah, yeah. Why it didn’t occur to me. 😂\nThank you for your comment."
] | 2020-05-22T08:43:36Z | 2020-05-22T22:14:05Z | 2020-05-22T22:14:05Z | CONTRIBUTOR | null | null | {
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} | ```
ax = nlp.load_dataset('glue', 'ax')
for i in range(30): print(ax['test'][i]['label'], end=', ')
```
```
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/181/comments | https://api.github.com/repos/huggingface/datasets/issues/181/events | https://github.com/huggingface/datasets/issues/181 | 622,634,420 | MDU6SXNzdWU2MjI2MzQ0MjA= | 181 | Cannot upload my own dataset | {
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"It's my misunderstanding. I cannot just upload a csv. I need to write a dataset loading script too.",
"I now try with the sample `datasets/csv` folder. \r\n\r\n nlp-cli upload csv\r\n\r\nThe error is still the same\r\n\r\n```\r\n2020-05-21 17:20:56.394659: I tensorflow/stream_executor/platform/default/dso_loa... | 2020-05-21T16:45:52Z | 2020-06-18T22:14:42Z | 2020-06-18T22:14:42Z | NONE | null | null | {
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} | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
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https://api.github.com/repos/huggingface/datasets/issues/179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/179/comments | https://api.github.com/repos/huggingface/datasets/issues/179/events | https://github.com/huggingface/datasets/issues/179 | 622,525,410 | MDU6SXNzdWU2MjI1MjU0MTA= | 179 | [Feature request] separate split name and split instructions | {
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"If your dataset is a collection of sub-datasets, you should probably consider having one config per sub-dataset. For example for Glue, we have sst2, mnli etc.\r\nIf you want to have multiple train sets (for example one per stage). The easiest solution would be to name them `nlp.Split(\"train_stage1\")`, `nlp.Split... | 2020-05-21T14:10:51Z | 2020-05-22T13:31:08Z | 2020-05-22T13:31:07Z | MEMBER | null | null | {
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} | Currently, the name of an nlp.NamedSplit is parsed in arrow_reader.py and used as the instruction.
This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would it be ... | {
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https://api.github.com/repos/huggingface/datasets/issues/175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/175/comments | https://api.github.com/repos/huggingface/datasets/issues/175/events | https://github.com/huggingface/datasets/issues/175 | 621,929,428 | MDU6SXNzdWU2MjE5Mjk0Mjg= | 175 | [Manual data dir] Error message: nlp.load_dataset('xsum') -> TypeError | {
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```python
import nlp
xsum = nlp.load_dataset('xsum')
```
Issue is `dl_manager.manual_dir`is `None`
```python
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
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https://api.github.com/repos/huggingface/datasets/issues/174 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/174/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/174/comments | https://api.github.com/repos/huggingface/datasets/issues/174/events | https://github.com/huggingface/datasets/issues/174 | 621,928,403 | MDU6SXNzdWU2MjE5Mjg0MDM= | 174 | nlp.load_dataset('xsum') -> TypeError | {
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https://api.github.com/repos/huggingface/datasets/issues/172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/172/comments | https://api.github.com/repos/huggingface/datasets/issues/172/events | https://github.com/huggingface/datasets/issues/172 | 621,377,386 | MDU6SXNzdWU2MjEzNzczODY= | 172 | Clone not working on Windows environment | {
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"Should be fixed on master now :)",
"Thanks @lhoestq 👍 Now I can uninstall WSL and get back to work with windows.🙂"
] | 2020-05-20T00:45:14Z | 2020-05-23T12:49:13Z | 2020-05-23T11:27:52Z | CONTRIBUTOR | null | null | {
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} | Cloning in a windows environment is not working because of use of special character '?' in folder name ..
Please consider changing the folder name ....
Reference to folder -
nlp/datasets/cnn_dailymail/dummy/3.0.0/3.0.0/dummy_data-zip-extracted/dummy_data/uc?export=download&id=0BwmD_VLjROrfM1BxdkxVaTY2bWs/dailymail/s... | {
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https://api.github.com/repos/huggingface/datasets/issues/168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/168/comments | https://api.github.com/repos/huggingface/datasets/issues/168/events | https://github.com/huggingface/datasets/issues/168 | 620,959,819 | MDU6SXNzdWU2MjA5NTk4MTk= | 168 | Loading 'wikitext' dataset fails | {
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"Hi, make sure you have a recent version of pyarrow.\r\n\r\nAre you using it in Google Colab? In this case, this error is probably the same as #128",
"Thanks!\r\n\r\nYes I'm using Google Colab, it seems like a duplicate then.",
"Closing as it is a duplicate",
"Hi,\r\nThe squad bug seems to be fixed, but the l... | 2020-05-19T13:04:29Z | 2020-05-26T21:46:52Z | 2020-05-26T21:46:52Z | NONE | null | null | {
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} | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/166 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/166/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/166/comments | https://api.github.com/repos/huggingface/datasets/issues/166/events | https://github.com/huggingface/datasets/issues/166 | 620,850,218 | MDU6SXNzdWU2MjA4NTAyMTg= | 166 | Add a method to shuffle a dataset | {
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"+1 for the naming convention\r\n\r\nAbout the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage)",
"+1 for shuffle in `Dataloader`. \r\nSome `Dataloader` just store idxs of dataset and just shuffle those idxs, which might(?) be faster ... | 2020-05-19T10:08:46Z | 2020-06-23T15:07:33Z | 2020-06-23T15:07:32Z | MEMBER | null | null | {
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} | Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-pl... | {
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} | Can I recommend the following:
For ANLI, use https://github.com/facebookresearch/anli. As that paper says, "Our dataset is not
to be confused with abductive NLI (Bhagavatula et al., 2019), which calls itself αNLI, or ART.".
Indeed, the paper cited under what is currently called anli says in the abstract "We int... | {
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"Hello @mrm8488, are these datasets official datasets published in an NLP/CL/ML venue?",
"What about this one: https://github.com/ccasimiro88/TranslateAlignRetrieve?"
] | 2020-05-18T22:18:21Z | 2020-05-25T16:28:45Z | 2020-05-25T16:28:45Z | CONTRIBUTOR | null | null | {
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In order to cover multilingual support a little step could be adding standard Datasets used for Spanish NER and POS tasks.
I can provide it in raw and preprocessed formats. | {
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https://api.github.com/repos/huggingface/datasets/issues/163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/163/comments | https://api.github.com/repos/huggingface/datasets/issues/163/events | https://github.com/huggingface/datasets/issues/163 | 620,534,307 | MDU6SXNzdWU2MjA1MzQzMDc= | 163 | [Feature request] Add cos-e v1.0 | {
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"Sounds good, @mariamabarham do you want to give a look?\r\nI think we should have two configurations so we can allow either version of the dataset to be loaded with the `1.0` version being the default maybe.\r\n\r\nCc some authors of the great cos-e: @nazneenrajani @bmccann",
"cos_e v1.0 is related to CQA v1.0 b... | 2020-05-18T22:05:26Z | 2020-06-16T23:15:25Z | 2020-06-16T18:52:06Z | NONE | null | null | {
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} | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/160/comments | https://api.github.com/repos/huggingface/datasets/issues/160/events | https://github.com/huggingface/datasets/issues/160 | 620,448,236 | MDU6SXNzdWU2MjA0NDgyMzY= | 160 | caching in map causes same result to be returned for train, validation and test | {
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"Hi @dpressel, \r\n\r\nthanks for posting your issue! Can you maybe add a complete code snippet that we can copy paste to reproduce the error? For example, I'm not sure where the variable `train_set` comes from in your code and it seems like you are loading multiple datasets at once? ",
"Hi, the full example was... | 2020-05-18T19:22:03Z | 2020-05-18T21:36:20Z | 2020-05-18T21:36:20Z | NONE | null | null | {
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} | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.... | {
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https://api.github.com/repos/huggingface/datasets/issues/159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/159/comments | https://api.github.com/repos/huggingface/datasets/issues/159/events | https://github.com/huggingface/datasets/issues/159 | 620,420,700 | MDU6SXNzdWU2MjA0MjA3MDA= | 159 | How can we add more datasets to nlp library? | {
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"Found it. https://github.com/huggingface/nlp/tree/master/datasets"
] | 2020-05-18T18:35:31Z | 2020-05-18T18:37:08Z | 2020-05-18T18:37:07Z | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/157/comments | https://api.github.com/repos/huggingface/datasets/issues/157/events | https://github.com/huggingface/datasets/issues/157 | 620,356,542 | MDU6SXNzdWU2MjAzNTY1NDI= | 157 | nlp.load_dataset() gives "TypeError: list_() takes exactly one argument (2 given)" | {
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"You can just run: \r\n`val = nlp.load_dataset('squad')` \r\n\r\nif you want to have just the validation script you can also do:\r\n\r\n`val = nlp.load_dataset('squad', split=\"validation\")`",
"If you want to load a local dataset, make sure you include a `./` before the folder name. ",
"This happens by just do... | 2020-05-18T16:46:38Z | 2020-06-05T08:08:58Z | 2020-06-05T08:08:58Z | NONE | null | null | {
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} | I'm trying to load datasets from nlp but there seems to have error saying
"TypeError: list_() takes exactly one argument (2 given)"
gist can be found here
https://gist.github.com/saahiluppal/c4b878f330b10b9ab9762bc0776c0a6a | {
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https://api.github.com/repos/huggingface/datasets/issues/156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/156/comments | https://api.github.com/repos/huggingface/datasets/issues/156/events | https://github.com/huggingface/datasets/issues/156 | 620,263,687 | MDU6SXNzdWU2MjAyNjM2ODc= | 156 | SyntaxError with WMT datasets | {
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"Jeez - don't know what happened there :D Should be fixed now! \r\n\r\nThanks a lot for reporting this @tomhosking !",
"Hi @patrickvonplaten!\r\n\r\nI'm now getting the below error:\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nTypeError ... | 2020-05-18T14:38:18Z | 2020-07-23T16:41:55Z | 2020-07-23T16:41:55Z | NONE | null | null | {
"completed": 0,
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} | The following snippet produces a syntax error:
```
import nlp
dataset = nlp.load_dataset('wmt14')
print(dataset['train'][0])
```
```
Traceback (most recent call last):
File "/home/tom/.local/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.... | {
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https://api.github.com/repos/huggingface/datasets/issues/149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/149/comments | https://api.github.com/repos/huggingface/datasets/issues/149/events | https://github.com/huggingface/datasets/issues/149 | 619,735,739 | MDU6SXNzdWU2MTk3MzU3Mzk= | 149 | [Feature request] Add Ubuntu Dialogue Corpus dataset | {
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"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
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"@AlphaMycelium the Ubuntu Dialogue Corpus [version 2]( https://github.com/rkadlec/ubuntu-ranking-dataset-creator) is added. Note that it requires a manual download by following the download instructions in the [repos]( https://github.com/rkadlec/ubuntu-ranking-dataset-creator).\r\nMaybe we can close this issue for... | 2020-05-17T15:42:39Z | 2020-05-18T17:01:46Z | 2020-05-18T17:01:46Z | NONE | null | null | {
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} | https://github.com/rkadlec/ubuntu-ranking-dataset-creator or http://dataset.cs.mcgill.ca/ubuntu-corpus-1.0/ | {
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https://api.github.com/repos/huggingface/datasets/issues/148 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/148/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/148/comments | https://api.github.com/repos/huggingface/datasets/issues/148/events | https://github.com/huggingface/datasets/issues/148 | 619,590,555 | MDU6SXNzdWU2MTk1OTA1NTU= | 148 | _download_and_prepare() got an unexpected keyword argument 'verify_infos' | {
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{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
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"Same error for dataset 'wiki40b'",
"Should be fixed on master :)"
] | 2020-05-17T01:48:53Z | 2020-05-18T07:38:33Z | 2020-05-18T07:38:33Z | CONTRIBUTOR | null | null | {
"completed": 0,
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} | # Reproduce
In Colab,
```
%pip install -q nlp
%pip install -q apache_beam mwparserfromhell
dataset = nlp.load_dataset('wikipedia')
```
get
```
Downloading and preparing dataset wikipedia/20200501.aa (download: Unknown size, generated: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/w... | {
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https://api.github.com/repos/huggingface/datasets/issues/147 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/147/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/147/comments | https://api.github.com/repos/huggingface/datasets/issues/147/events | https://github.com/huggingface/datasets/issues/147 | 619,581,907 | MDU6SXNzdWU2MTk1ODE5MDc= | 147 | Error with sklearn train_test_split | {
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"Indeed. Probably we will want to have a similar method directly in the library",
"Related: #166 "
] | 2020-05-17T00:28:24Z | 2020-06-18T16:23:23Z | 2020-06-18T16:23:23Z | NONE | null | null | {
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} | It would be nice if we could use sklearn `train_test_split` to quickly generate subsets from the dataset objects returned by `nlp.load_dataset`. At the moment the code:
```python
data = nlp.load_dataset('imdb', cache_dir=data_cache)
f_half, s_half = train_test_split(data['train'], test_size=0.5, random_state=seed)... | {
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https://api.github.com/repos/huggingface/datasets/issues/143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/143/comments | https://api.github.com/repos/huggingface/datasets/issues/143/events | https://github.com/huggingface/datasets/issues/143 | 619,457,641 | MDU6SXNzdWU2MTk0NTc2NDE= | 143 | ArrowTypeError in squad metrics | {
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{
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"default": false,
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"id": 2067393914,
"name": "metric bug",
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] | closed | false | null | [] | null | [
"There was an issue in the format, thanks.\r\nNow you can do\r\n```python3\r\nsquad_dset = nlp.load_dataset(\"squad\")\r\nsquad_metric = nlp.load_metric(\"/Users/quentinlhoest/Desktop/hf/nlp-bis/metrics/squad\")\r\npredictions = [\r\n {\"id\": v[\"id\"], \"prediction_text\": v[\"answers\"][\"text\"][0]} # take ... | 2020-05-16T12:06:37Z | 2020-05-22T13:38:52Z | 2020-05-22T13:36:48Z | CONTRIBUTOR | null | null | {
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} | `squad_metric.compute` is giving following error
```
ArrowTypeError: Could not convert [{'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}] with type list: was not a dict, tuple, or recognized null value for conversion to struct type
```
This is how my predictions and references lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/138/comments | https://api.github.com/repos/huggingface/datasets/issues/138/events | https://github.com/huggingface/datasets/issues/138 | 619,225,191 | MDU6SXNzdWU2MTkyMjUxOTE= | 138 | Consider renaming to nld | {
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"I would suggest `nlds`. NLP is a very general, broad and ambiguous term, the library is not about NLP (as in processing) per se, it is about accessing Natural Language related datasets. So the name should reflect its purpose.\r\n",
"Chiming in to second everything @honnibal said, and to add that I think the curr... | 2020-05-15T20:23:27Z | 2022-09-16T05:18:22Z | 2020-09-28T00:08:10Z | NONE | null | null | {
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} | Hey :)
Just making a thread here recording what I said on Twitter, as it's impossible to follow discussion there. It's also just really not a good way to talk about this sort of thing.
The issue is that modules go into the global namespace, so you shouldn't use variable names that conflict with module names. This... | {
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https://api.github.com/repos/huggingface/datasets/issues/133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/133/comments | https://api.github.com/repos/huggingface/datasets/issues/133/events | https://github.com/huggingface/datasets/issues/133 | 619,094,954 | MDU6SXNzdWU2MTkwOTQ5NTQ= | 133 | [Question] Using/adding a local dataset | {
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"Hi @zphang,\r\n\r\nSo you can just give the local path to a dataset script file and it should work.\r\n\r\nHere is an example:\r\n- you can download one of the scripts in the `datasets` folder of the present repo (or clone the repo)\r\n- then you can load it with `load_dataset('PATH/TO/YOUR/LOCAL/SCRIPT.py')`\r\n\... | 2020-05-15T16:26:06Z | 2020-07-23T16:44:09Z | 2020-07-23T16:44:09Z | NONE | null | null | {
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} | Users may want to either create/modify a local copy of a dataset, or use a custom-built dataset with the same `Dataset` API as externally downloaded datasets.
It appears to be possible to point to a local dataset path rather than downloading the external ones, but I'm not exactly sure how to go about doing this.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/132/comments | https://api.github.com/repos/huggingface/datasets/issues/132/events | https://github.com/huggingface/datasets/issues/132 | 619,077,851 | MDU6SXNzdWU2MTkwNzc4NTE= | 132 | [Feature Request] Add the OpenWebText dataset | {
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"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
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"We're experimenting with hosting the OpenWebText corpus on Zenodo for easier downloading. https://zenodo.org/record/3834942#.Xs1w8i-z2J8",
"Closing since it's been added in #660 "
] | 2020-05-15T15:57:29Z | 2020-10-07T14:22:48Z | 2020-10-07T14:22:48Z | MEMBER | null | null | {
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} | The OpenWebText dataset is an open clone of OpenAI's WebText dataset. It can be used to train ELECTRA as is specified in the [README](https://www.github.com/google-research/electra).
More information and the download link are available [here](https://skylion007.github.io/OpenWebTextCorpus/). | {
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https://api.github.com/repos/huggingface/datasets/issues/131 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/131/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/131/comments | https://api.github.com/repos/huggingface/datasets/issues/131/events | https://github.com/huggingface/datasets/issues/131 | 619,073,731 | MDU6SXNzdWU2MTkwNzM3MzE= | 131 | [Feature request] Add Toronto BookCorpus dataset | {
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"As far as I understand, `wikitext` is refer to `WikiText-103` and `WikiText-2` that created by researchers in Salesforce, and mostly used in traditional language modeling.\r\n\r\nYou might want to say `wikipedia`, a dump from wikimedia foundation.\r\n\r\nAlso I would like to have Toronto BookCorpus too ! Though it... | 2020-05-15T15:50:44Z | 2020-06-28T21:27:31Z | 2020-06-28T21:27:31Z | CONTRIBUTOR | null | null | {
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} | I know the copyright/distribution of this one is complex, but it would be great to have! That, combined with the existing `wikitext`, would provide a complete dataset for pretraining models like BERT. | {
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https://api.github.com/repos/huggingface/datasets/issues/130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/130/comments | https://api.github.com/repos/huggingface/datasets/issues/130/events | https://github.com/huggingface/datasets/issues/130 | 619,035,440 | MDU6SXNzdWU2MTkwMzU0NDA= | 130 | Loading GLUE dataset loads CoLA by default | {
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"As a follow-up to this: It looks like the actual GLUE task name is supplied as the `name` argument. Is there a way to check what `name`s/sub-datasets are available under a grouping like GLUE? That information doesn't seem to be readily available in info from `nlp.list_datasets()`.\r\n\r\nEdit: I found the info und... | 2020-05-15T14:55:50Z | 2020-05-27T22:08:15Z | 2020-05-27T22:08:15Z | NONE | null | null | {
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} | If I run:
```python
dataset = nlp.load_dataset('glue')
```
The resultant dataset seems to be CoLA be default, without throwing any error. This is in contrast to calling:
```python
metric = nlp.load_metric("glue")
```
which throws an error telling the user that they need to specify a task in GLUE. Should the... | {
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