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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'Library', 'Model Count'}) and 10 missing columns ({'Notes', 'Developer Type', 'Developer(s)', 'Additional', 'Category', 'Library Name', 'GitHub Forks', 'Stage', '# of models that use the library', 'GitHub Stars'}).
This happened while the csv dataset builder was generating data using
hf://datasets/midah/hf_libraries_use/Libraries Hugging Face Analysis - model_library_count(hf_api, exhaustive) (1).csv (at revision ddd8a1b6e92375852969ed2adc96d183b95e537b)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Library: string
Model Count: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 494
to
{'Library Name': Value(dtype='string', id=None), 'Category': Value(dtype='string', id=None), 'Developer(s)': Value(dtype='string', id=None), 'Stage': Value(dtype='string', id=None), 'Developer Type': Value(dtype='string', id=None), '# of models that use the library': Value(dtype='string', id=None), 'GitHub Forks': Value(dtype='int64', id=None), 'GitHub Stars': Value(dtype='int64', id=None), 'Notes': Value(dtype='string', id=None), 'Additional': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1436, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'Library', 'Model Count'}) and 10 missing columns ({'Notes', 'Developer Type', 'Developer(s)', 'Additional', 'Category', 'Library Name', 'GitHub Forks', 'Stage', '# of models that use the library', 'GitHub Stars'}).
This happened while the csv dataset builder was generating data using
hf://datasets/midah/hf_libraries_use/Libraries Hugging Face Analysis - model_library_count(hf_api, exhaustive) (1).csv (at revision ddd8a1b6e92375852969ed2adc96d183b95e537b)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Library Name string | Category string | Developer(s) string | Stage string | Developer Type string | # of models that use the library string | GitHub Forks int64 | GitHub Stars int64 | Notes null | Additional string |
|---|---|---|---|---|---|---|---|---|---|
PyCTCDecode | ASR Decoding | OpenAI | Post-processing | AI Company | null | 93 | 436 | null | Now merged to transformers |
Transformers | NLP Models | Hugging Face | Fine-tuning , Pre-training, Inference | AI Company | 526425 | 28,200 | 141,000 | null | null |
PEFT | Parameter-Efficient FT | Hugging Face | Fine-tuning | AI Company | 205411 | 1,800 | 17,600 | null | null |
PyTorch | null | Meta AI | Pre-training | AI Company | 201,657 | 23,500 | 87,500 | null | null |
GGUF | null | Georgi Gerganov | Pre-training | AI Community | 93,079 | 1,200 | 12,000 | null | null |
Diffusers | Image Generation | Hugging Face | End-to-end | AI Company | 66,759 | 5,700 | 27,800 | null | null |
RL-Baselines3-Zoo | RL Algorithms | Stable-Baselines Team | Inference, Fine-tuning | Open-source Community | 19,796 | 533 | 2,300 | null | null |
Stable-Baselines3 | Reinforcement Learning | Stable-Baselines Team | Fine-tuning , Inference | Open-source Community | 19796 | 1,800 | 9,900 | null | null |
TensorFlow | null | Google Brain | Fine-tuning, End-to-end | AI Company | 13,790 | 74,600 | 188,000 | null | null |
Sentence Transformers | NLP, Embeddings | UKPLab | Fine-tuning , Inference | Research Institution | 10683 | 2,600 | 16,100 | null | null |
JAX | null | Google Brain | Pre-training | AI Company | 9,865 | 2,900 | 31,500 | null | null |
ML-Agents | Reinforcement Learning | Unity | Pre-training, Fine-tuning | Tech Company | 9826 | 4,200 | 17,700 | null | null |
TF-Keras (legacy) | Deep Learning | Google, TensorFlow Team | Pre-training, Fine-tuning | Tech Company | 3401 | 34 | 73 | null | null |
Timm | Computer Vision Models | Ross Wightman | Pre-training, Fine-tuning | Independent Developer | 2055 | 4,900 | 33,300 | null | null |
Keras | Deep Learning | François Chollet, Google | Fine-tuning , Pre-training | Tech Company | 1986 | 19,500 | 62,600 | null | null |
Sample Factory | Reinforcement Learning | DeepMind, Open-source Devs | Pre-training, Fine-tuning | AI Company, Community | 1986 | 121 | 873 | null | null |
Flair | NLP | Zalando Research | Fine-tuning , Inference | Research Institution | 1714 | 2,100 | 14,100 | null | null |
MLX | ML Framework (Apple) | Apple | End-to-end | Tech Company | 1459 | 1,100 | 19,400 | null | null |
Transformers.js | Web-based Transformers | Hugging Face | Inference | AI Company | 1216 | 866 | 13,100 | null | null |
SetFit | Few-shot Learning | Hugging Face | Fine-tuning , Inference | AI Company | 1214 | 235 | 2,400 | null | null |
fastai | Deep Learning | fast.ai | Pre-training, Fine-tuning | Research Institution | 835 | 7,600 | 26,700 | null | null |
spaCy | NLP | Explosion.ai | Fine-tuning , Inference | AI Company | 830 | 4,500 | 31,000 | null | null |
BERTopic | NLP, Topic Modeling | Maarten Grootendorst | Inference | Independent Developer | 825 | 793 | 6,500 | null | null |
ESPnet | Speech Processing | ESPnet Team | Fine-tuning , Pre-training, Inference | Research Institution | 765 | 2,200 | 8,800 | null | null |
NeMo | Speech/NLP Models | NVIDIA | Pre-training, Fine-tuning , Inference | Tech Company | 507 | 2,700 | 13,200 | null | null |
OpenCLIP | Vision-Language Models | LAION, OpenAI, Stability | Pre-training, Fine-tuning | Open-source Community | 405 | 1,100 | 11,000 | null | null |
Speechbrain | Speech Processing | Mila, Open-source Devs | Pre-training, Fine-tuning | Research Institution | 218 | 1,400 | 9,400 | null | null |
Asteroid | Audio Processing | Asteroid Team | Pre-training, Fine-tuning | Open-source Community | 195 | 429 | 2,300 | null | null |
AllenNLP | NLP | Allen Institute for AI | Fine-tuning , Pre-training | Research Institution | 183 | 2,300 | 11,800 | null | null |
PaddleNLP | NLP | PaddlePaddle, Baidu | Pre-training, Fine-tuning | Tech Company | 81 | 3,000 | 12,400 | null | null |
SpanMarker | Named Entity Recognition | Toma, Open-source Devs | Fine-tuning , Inference | Independent, Community | 72 | 29 | 420 | null | null |
Pyannote | Speaker Diarization | Hervé Bredin, Open-source | Post-processing | Academic, Open-source | 71 | 839 | 7,000 | null | Combined audio and general for Pyannote HF model count |
Pythae | Generative Models | Theo Mary | Pre-training, Fine-tuning | Independent Developer | 40 | 173 | 1,900 | null | null |
TensorFlowTTS | Text-to-Speech (TTS) | TensorFlowTTS Team | Pre-training, Fine-tuning , Inference | Open-source Community | 40 | 815 | 3,900 | null | null |
Unity Sentis | ML Inference on Unity | Unity | Inference | Tech Company | 32 | 40 | 209 | null | null |
KerasNLP | NLP | Keras Team, Google | End-to-end | Tech Company | 18 | 2,100 | 2,800 | null | null |
DDUF | null | Community | Inference | AI Community | 13 | 275 | 343 | null | Github data obtained for hub-docs: https://github.com/huggingface/hub-docs/tree/main |
Adapters | Model Fine-tuning | AdapterHub Team | Fine-tuning | Open-source Community | 7 | 357 | 2,700 | null | null |
docTR | Document Processing | Mindee, open-source devs | Inference | AI Company, Community | 3 | 478 | 4,300 | null | null |
MBRL-Lib | Model-Based RL | Facebook AI Research | End-to-end | AI Company | 2 | 185 | 986 | null | null |
MidiTok | Music Generation | Miditok Team | Pre-training, Inference | Open-source Community | 1 | 91 | 743 | null | null |
Scikit Learn (using skops) | ML Framework | Scikit-learn Team | End-to-end | Open-source Community | 1 | 25,600 | 61,300 | null | null |
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