source stringclasses 259
values | domain stringclasses 189
values | question_type stringclasses 50
values | task_type stringclasses 3
values | images listlengths 0 12 | img_size listlengths 1 12 ⌀ | messages listlengths 2 2 | original_answer stringlengths 20 24.2k | modified_cot stringlengths 35 63.8k ⌀ | Overall Score int64 -1 5 | Explanation stringlengths 32 2k | wait_info dict | generated_cot stringlengths 0 58.7k | think_truncated bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
multimodal_arxivqa52k_en | Chart & Plot | multiple-choice question | light_cot | [
"Honey-Data-15M/images/Chart/ArxivQA/train-00001-of-00029/image_001202_00.png"
] | [
[
1906,
1066
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/Chart/ArxivQA/train-00001-of-00029/image_001202_00.png<img_end>\nWhat pattern can be observed when comparing the prototype similarity scores of Group 1 and Group 4 in Figure A?\nA. Group 1 has consistently higher similarity scores across all var... | <think>
</think>
Rationale:
To determine the pattern between the prototype similarity scores of Group 1 and Group 4, we need to compare the color intensities for each variable (Var 1, Var 2, Var 3, and Var 4) across the two groups in Figure A.
1. **Var 1**: Both Group 1 and Group 4 show a similar pattern of protot... | <think>The user wants me to analyze Figure A and compare the prototype similarity scores for Group 1 and Group 4.
1. **Identify the relevant parts of the image:**
* Look at Figure A, which is a heatmap.
* The y-axis represents "Multivariable Prototype Index" and is divided into groups: Group 1, Group 2, Gr... | 5 | # Evaluation of Question-Answer Sample
## 1. Answer Correctness (5/5)
The model-generated answer correctly identifies option C as the correct choice, which matches exactly with the reference answer. The conclusion is factually accurate and consistent with both the visual data in Figure A and the reference analysis.
#... | {
"wait_count": 6,
"wait_no_count": 0,
"total_wait": 6,
"has_anomaly": false
} | The user wants me to analyze Figure A and compare the prototype similarity scores for Group 1 and Group 4.
1. **Identify the relevant parts of the image:**
* Look at Figure A, which is a heatmap.
* The y-axis represents "Multivariable Prototype Index" and is divided into groups: Group 1, Group 2, Group 3, ... | null |
coyo | General VQA | answer question | light_cot | [
"Honey-Data-15M/images/Caption/COYO-Recaption/train-00005-of-00110/image_006061_00.png"
] | [
[
800,
370
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/Caption/COYO-Recaption/train-00005-of-00110/image_006061_00.png<img_end>"
},
{
"role": "assistant",
"content": "根据图片中的文字和视觉元素，我们可以推断出这个工作坊的主题：\n\n1. **主要标题**：图片上方醒目的红色大字写着“Social Media TAKE...”（虽然被截断，但结合语境通常指“Social Media Takeoff”或类... | <think>
</think>
The image is a promotional graphic for a social media workshop. Here's a detailed description:
1. **Title and Text:**
- The main title reads "Social Media TAKE" in bold, red, textured font, with the word "TAKE" slightly larger than "Social Media."
- Below the title, there is a subtitle in blac... | null | 5 | # Evaluation of Question-Answer Sample
## Final Answers Comparison
**Reference Answer:**
The image is a promotional graphic for a social media workshop. It includes:
1. A main title "Social Media TAKE"
2. Subtitle: "India's #1 Social Media Workshop for Entrepreneurs & Marketing Professionals"
3. Visual elements inclu... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | 用户要求我分析一张图片并回答“这个工作坊是关于什么的”。我需要仔细观察图片中的文字和图标来推断其内容。
1. **观察图像内容**：
* **左侧**：有一位穿着西装的男士，看起来像是演讲者或主办方代表。
* **顶部大字**：红色字体写着 "Social Media TAKE..."（可能是TAKEOFF）。旁边有一个红色的图表图标，显示向上的箭头和柱状图，象征着增长。
* **中间小字**：黑色字体写着 "India's #1 Social Media Workshop for Entrepreneurs & Marketing Professionals"（印度排名第一的社会媒体研讨会，... | null |
robut_wikisql_cauldron | Table & Structured Data | explanation question | light_cot | [
"Honey-Data-15M/images/Chart/RobuT_WikiSQL/train-00005-of-00012/image_008939_00.png"
] | [
[
699,
553
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/Chart/RobuT_WikiSQL/train-00005-of-00012/image_008939_00.png<img_end>\nInvestigate the relationship between attendance and match outcome. Do higher-attendance matches tend to have more goals scored or different winning margins?"
},
{
"ro... | <think>
用户现在需要分析表格中 attendance（这里注意看表格里的日期其实是日期，但可能表格排版问题？不对，看列名Attendance，可能表格里的日期其实是出席人数？不对，看第一行Enfield vs Peterborough United，Attendance是7 December 1996，这明显是日期，所以可能表格的Attendance列数据有误，或者是排版错误？哦，不对，可能用户提供的表格中Attendance列实际是比赛日期，而出席人数可能没显示？这时候要先理清楚数据结构。首先看每一行的Attendance列都是日期，比如7 December 1996，17 December 1996等。所以可能表格的At... | <think>The user wants me to analyze the relationship between "Attendance" and match outcomes (goals, winning margins) based on the provided table.
**1. Extract Data:**
I need to go through each row of the table and extract the relevant data: Score, Home/Away winner (if any), Total Goals, Goal Difference (Margin), and ... | 5 | # Evaluation of Question-Answer Sample
## 1. **Answer Correctness**
The model-generated answer correctly identifies the critical issue with the data: the "Attendance" column contains dates rather than numerical attendance figures, making a direct analysis impossible. It also correctly observes that replays (later date... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | The user wants me to analyze the relationship between "Attendance" and match outcomes (goals, winning margins) based on the provided table.
**1. Extract Data:**
I need to go through each row of the table and extract the relevant data: Score, Home/Away winner (if any), Total Goals, Goal Difference (Margin), and Attenda... | null |
SVIT_mix_665K | Grounding | description question | direct | [
"Honey-Data-15M/images/General/SVIT-mix-665K/train-00074-of-00102/image_000639_00.png"
] | [
[
314,
500
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/General/SVIT-mix-665K/train-00074-of-00102/image_000639_00.png<img_end>\nPlease provide a short description for this region: [0.32, 0.29, 0.39, 0.34]."
},
{
"role": "assistant",
"content": "To determine the description of the region ... | <think>
</think>
To determine the description of the region [0.32, 0.29, 0.39, 0.34], we first map the normalized coordinates to the visual elements in the image:
1. **Coordinate Interpretation**: In image annotation systems, normalized coordinates follow the format [x₁, y₁, x₂, y₂], where values range from 0 to 1... | null | -1 | direct strategy: scoring skipped | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | null | |
coyo | General VQA | open-ended question | light_cot | [
"Honey-Data-15M/images/Caption/COYO-Recaption/train-00000-of-00110/image_009361_00.png"
] | [
[
393,
640
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/Caption/COYO-Recaption/train-00000-of-00110/image_009361_00.png<img_end>"
},
{
"role": "assistant",
"content": "基于图像分析：\n\n1. **观察内容**：图片中展示了一位金发女士，身穿灰色无袖连衣短裙，站在白色墙壁前。她的下半身穿着显眼的靴子。\n2. **识别关键信息**：将视线集中在她的脚部，可以看到她穿着一双高筒靴（过膝靴）。\n3. ... | <think>
</think>
The image shows a woman standing outdoors against a plain white wall with a concrete floor. She is dressed in a stylish, casual outfit. Here's a detailed description:
1. **Clothing:**
- She is wearing a sleeveless, knee-length dress in a light gray or silver tone. The dress has a layered, draped ... | null | 4 | ## **Evaluation of the Question-Answer Sample**
---
### **1. Final Answer Comparison**
**Reference Answer (relevant portion):**
> She is wearing tall, over-the-knee boots in a light brown or tan suede material.
**Model-Generated Answer (final answer):**
> 这个女人穿着**棕色**（或驼色/浅棕色）的靴子。
> Translated:
> The woman is wear... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | 1. **观察图像内容**：
* **人物**：一位金发女性，长发披肩。她正侧身对着镜头，头部转向镜头微笑。
* **服装**：她穿着一件灰色的无袖连衣裙或长款上衣（看起来像是有垂坠感的布料），长度大概到膝盖上方。这件衣服前面有一条较长的布条垂下，类似围巾或装饰性飘带。
* **鞋履**：她穿着一双棕色/驼色的过膝靴（knee-high boots）。这双靴子看起来很柔软，像是麂皮或绒面革材质。靴子的后跟是中等高度的粗跟（block heel）。
* **配饰**：手腕上戴着几条手链或手镯。
* **背景**：背景是一堵白色的墙和灰色的混凝土地面，看起来像是在户外拍摄时尚... | null |
SVIT_mix_665K | Caption | description question | direct | [
"Honey-Data-15M/images/General/SVIT-mix-665K/train-00084-of-00102/image_002599_00.png"
] | [
[
500,
333
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/General/SVIT-mix-665K/train-00084-of-00102/image_002599_00.png<img_end>\nPlease provide a short description for this region: [0.04, 0.64, 0.55, 0.83]."
},
{
"role": "assistant",
"content": "To determine the content of the region defi... | <think>
</think>
To determine the content of the region defined by [0.04, 0.64, 0.55, 0.83], we analyze the coordinate system (normalized x₁, y₁, x₂, y₂, where values range from 0 to 1 for the image’s width and height).
In the image, this region corresponds to **the blue marker signs positioned alongside the railw... | null | -1 | direct strategy: scoring skipped | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | null | |
coco | General VQA | multiple-choice question | light_cot | [
"Honey-Data-15M/images/General/COCO/train-00000-of-00002/image_003175_00.png"
] | [
[
426,
640
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/General/COCO/train-00000-of-00002/image_003175_00.png<img_end>\nWhich ingredient in the dish is inedible? \nA. noodles \nB. shells \nC. mussels \nD. pepper\n."
},
{
"role": "assistant",
"content": "Based on the image provided, here i... | <think>
用户现在需要解决的问题是找出哪个食材不可食用。看选项中的B是shells（贝壳），因为蛤蜊（mussels可能也是贝类，但蛤蜊的壳是不能吃的，而noodles面条、pepper胡椒都是可食用的，mussels如果是指贻贝之类的肉是可吃的，但壳是shells，所以shells不可食用。所以选B。
</think>
To determine which ingredient is inedible, we analyze each option:
- **A. noodles**: Noodles are a common edible food item.
- **B. shells**: In dishes... | <think>The user wants me to identify the inedible ingredient in the dish shown in the image.
1. **Analyze the image:**
* The main dish is a bowl of pasta (spaghetti or linguine). This corresponds to option A (noodles). Noodles are edible.
* There are clams or mussels on top of the pasta. These are shellfi... | 5 | ## Evaluation of Question-Answer Sample
### 1. **Answer Correctness**
The model correctly identifies **B. shells** as the inedible ingredient, which matches the **Reference Answer** exactly. The reasoning is factually accurate: shells are not consumed, while noodles, mussels (meat), and pepper are all edible.
✅ **Sco... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | The user wants me to identify the inedible ingredient in the dish shown in the image.
1. **Analyze the image:**
* The main dish is a bowl of pasta (spaghetti or linguine). This corresponds to option A (noodles). Noodles are edible.
* There are clams or mussels on top of the pasta. These are shellfish. The... | null |
cosyn_table_train | Table & Structured Data | answer question | light_cot | [
"Honey-Data-15M/images/Chart/CoSyn_Table/train-00002-of-00009/image_009233_00.png"
] | [
[
2400,
1200
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/Chart/CoSyn_Table/train-00002-of-00009/image_009233_00.png<img_end>\nWhat is the difference in time taken for Emily Davis's deliveries on October 4 and October 12, 2023?"
},
{
"role": "assistant",
"content": "Based on the provided im... | <think>
用户现在需要解决的是Emily Davis在10月4日和12日的配送时间差。首先得定位到Emily Davis的行（Row 4，Emi Dav），然后找到对应日期的“Tim”（时间）列数据。
先看10月4日（需要确定列对应的日期，但表格里“Tim”开头的列，看数据：Row4的Tim列，找对应日期。看Row4的Tim数据，假设“90”是10月4日？不对，再仔细看。哦，Row4的Tim列数据有90、85、92这些。需要明确日期对应。但可能表格中“Tim”列是时间指标，比如配送时间（分钟？）。看Row4（Emi Dav）的Tim相关数据：假设10月4日对应的值和10月12日对应的值。看Row4的Tim列，找到两个日期的时... | <think>The user wants to find the difference in delivery time for a specific driver (Emily Davis) on two specific dates (October 4 and October 12).
1. **Identify the relevant row:** Look for "Emily Davis" in the "Driver" column.
* Row 1: John Smith
* Row 2: Sarah Johnson
* Row 3: Michael Brown
*... | 5 | # Evaluation of the Question-Answer Sample
## 1. Answer Correctness (5/5)
The model-generated answer correctly identifies Emily Davis's row (Row 4), locates the time values for October 4 (90.0) and October 12 (92.0), and calculates the difference as 2.0, which matches the reference answer exactly. The conclusion is fu... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | The user wants to find the difference in delivery time for a specific driver (Emily Davis) on two specific dates (October 4 and October 12).
1. **Identify the relevant row:** Look for "Emily Davis" in the "Driver" column.
* Row 1: John Smith
* Row 2: Sarah Johnson
* Row 3: Michael Brown
* Row ... | null |
SVIT_mix_665K | General VQA | open-ended question | light_cot | [
"Honey-Data-15M/images/General/SVIT-mix-665K/train-00028-of-00102/image_002538_00.png"
] | [
[
412,
500
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/General/SVIT-mix-665K/train-00028-of-00102/image_002538_00.png<img_end>\nImagine you are the child depicted on the cover of \"Everyday Spelling.\" Write a short story about an adventure you have while learning new spelling words."
},
{
"... | <think>
用户现在需要扮演《Everyday Spelling》封面上的孩子，写一个学拼写时的冒险故事。首先得观察封面元素：黄色背景、飞船（有三个圆形窗户，里面可能有其他孩子？）、字母装饰（W、S、R、H、K这些卷曲的字母），还有蓝头发穿条纹衫的孩子。
首先设定主角是这个蓝头发孩子，比如叫Max。故事要结合拼写学习和冒险，所以得把拼写单词变成冒险中的元素，比如飞船是拼写飞船，字母是关键道具，遇到挑战需要拼写正确单词解决问题。
步骤：1. 设定场景：Max在拼写课上，突然被飞船接走（奇幻元素）。2. 冒险任务：比如字母星球需要救援，每个挑战对应拼写单词。3. 冲突与解决：比如遇到字母怪兽，需要拼对单词才能打败；或者修复飞船需... | <think>The user wants me to write a short story from the perspective of the boy on the book cover.
**1. Analyze the Image:**
* **Subject:** A cartoon-style boy with spiky blue hair and large eyes, wearing a striped shirt. He looks curious or perhaps a bit dazed.
* **Object:** A large, metallic, rocket-ship-like ob... | 4 | # Evaluation of Question-Answer Sample
## Final Answer Comparison
**Reference Answer:**
The reference answer is a creative short story titled "《拼写飞船的字母救援》" (The Letter Rescue by the Spelling Ship) about Max, a boy with blue hair who goes on an interstellar adventure to rescue letters while learning spelling. It inclu... | {
"wait_count": 2,
"wait_no_count": 0,
"total_wait": 2,
"has_anomaly": false
} | The user wants me to write a short story from the perspective of the boy on the book cover.
**1. Analyze the Image:**
* **Subject:** A cartoon-style boy with spiky blue hair and large eyes, wearing a striped shirt. He looks curious or perhaps a bit dazed.
* **Object:** A large, metallic, rocket-ship-like object (l... | null |
coyo | General VQA | answer question | light_cot | [
"Honey-Data-15M/images/Caption/COYO-Recaption/train-00067-of-00110/image_001110_00.png"
] | [
[
450,
252
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/Caption/COYO-Recaption/train-00067-of-00110/image_001110_00.png<img_end>"
},
{
"role": "assistant",
"content": "基于图像内容，以下是详细的分析与描述：\n\n**1. 观察到的内容：**\n* **主体人物：** 图像中心是一位年轻女性，她留着深色的头发，梳得整齐（可能是盘发）。她的表情看起来很愉快，嘴角上扬，带着微笑注视着前方（略微偏向镜头左侧）... | <think>
</think>
The image shows a person standing against a bright green background, which is commonly used for chroma keying in video production. The individual is wearing a white, sleeveless, high-slit dress that is form-fitting and has a modern, elegant design. The dress features a deep V-neckline and a belt-like... | null | 4 | ## Evaluation of the Question-Answer Sample
### 1. **Answer Correctness (4/5)**
The model-generated answer is largely correct and aligns with the reference answer in terms of describing the person, clothing, posture, and green screen background. However, there are some minor discrepancies:
- The model mentions "white ... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | 这个请求要求我分析图像并回答一个问题，但实际上用户并没有在提示中提出具体的问题。他们只是提供了一个通用的指令模板（“你是一个有用的助手。请仔细分析图像...通过详细的推理来回答以下问题”），但随后并没有列出问题。
不过，通常这类任务是希望我对图像内容进行描述或分类。既然没有具体问题，我将根据图像的视觉内容生成一个全面的描述性回答，涵盖主要元素、动作和背景。
**步骤 1：观察图像内容**
* **主体：** 一位年轻女性。
* **外貌：** 深色头发（扎起或盘起），皮肤白皙，面带微笑，看着镜头或稍微偏左。
* **服装：** 穿着一件白色的礼服。这件礼服看起来像是丝绸或类似的轻薄面料。它是V领设计，侧边有高开叉（s... | null |
vcr_wiki_en_easy | OCR | description question | direct | [
"Honey-Data-15M/images/OCR/VCR-Wiki/train-00005-of-00008/image_005750_00.png"
] | [
[
300,
337
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/OCR/VCR-Wiki/train-00005-of-00008/image_005750_00.png<img_end>\nWhat is the covered texts in the image? Please restore the covered texts without outputting the explanations."
},
{
"role": "assistant",
"content": "1978 North Sea storm... | <think>
</think>
1978 North Sea storm surge was a storm surge which occurred over 11–12 January causing extensive coastal flooding and considerable damage on the east | null | -1 | direct strategy: scoring skipped | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | null | |
HQ-Edit | Art & Design | image description question | light_cot | [
"Honey-Data-15M/images/General/HQ-Edit/train-00003-of-00004/image_001679_00.png",
"Honey-Data-15M/images/General/HQ-Edit/train-00003-of-00004/image_001679_01.png"
] | [
[
874,
1020
],
[
908,
1021
]
] | [
{
"role": "user",
"content": "<img_start>Honey-Data-15M/images/General/HQ-Edit/train-00003-of-00004/image_001679_00.png<img_end>\n<img_start>Honey-Data-15M/images/General/HQ-Edit/train-00003-of-00004/image_001679_01.png<img_end>\nPlease provide the image edit instruction that can transfrom the source image ... | <think>
**Visualizing the Transition**
I'm currently focused on the genesis of the imagery, specifically, the transformation. My goal is to capture the essence of a ladybug close-up on a leaf and morph it into a broader scene with a green VW Beetle. I'm focusing on the visual and symbolic aspects of the ladybug as the... | <think>The user wants me to generate an image edit instruction that transforms the source image into the target image.
**1. Analyze the Source Image:**
* **Subject:** A close-up macro shot of a ladybug on a green leaf.
* **Details:** The leaf has prominent veins and fine hairs (trichomes) along the edge. The light... | 5 | # Evaluation of the Question-Answer Sample
## Final Answers Comparison
**Reference Answer:** Replace the red ladybug with a green Volkswagen Beetle, and transform the single leaf into a vast, surreal landscape of rolling hills that are textured like giant green leaves, with the sun rising in the background.
**Model-... | {
"wait_count": 0,
"wait_no_count": 0,
"total_wait": 0,
"has_anomaly": false
} | The user wants me to generate an image edit instruction that transforms the source image into the target image.
**1. Analyze the Source Image:**
* **Subject:** A close-up macro shot of a ladybug on a green leaf.
* **Details:** The leaf has prominent veins and fine hairs (trichomes) along the edge. The lighting is ... | null |
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