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index 0000000000000000000000000000000000000000..1ef325f1b111266a6b26e0196871bd78baa8c2f3
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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
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+# Audio files - compressed
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diff --git a/README.md b/README.md
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+---
+license: odc-by
+task_categories:
+- visual-question-answering
+dataset_info:
+- config_name: chart
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
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+    - name: explanation
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+    - name: answer
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+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
+      dtype: string
+  - name: data
+    dtype: string
+  - name: code
+    dtype: string
+  splits:
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+    num_bytes: 25262691844.136
+    num_examples: 116814
+  - name: validation
+    num_bytes: 220083787.264
+    num_examples: 1024
+  download_size: 24927449477
+  dataset_size: 25482775631.4
+- config_name: chemical
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
+      dtype: string
+  - name: data
+    dtype: string
+  - name: code
+    dtype: string
+  splits:
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+    num_bytes: 282021984.062
+    num_examples: 8942
+  - name: validation
+    num_bytes: 4186180.0
+    num_examples: 128
+  download_size: 276447943
+  dataset_size: 286208164.062
+- config_name: circuit
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
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+  - name: code
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+  - name: validation
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+    num_examples: 128
+  download_size: 392176815
+  dataset_size: 410930650.22
+- config_name: diagram
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
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+  - name: code
+    dtype: string
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+  - name: validation
+    num_bytes: 194765398.0
+    num_examples: 1024
+  download_size: 6695298322
+  dataset_size: 6842278343.646
+- config_name: document
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
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+  - name: code
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+    num_examples: 71282
+  - name: validation
+    num_bytes: 287297344.304
+    num_examples: 1024
+  download_size: 20220923713
+  dataset_size: 20695356525.102
+- config_name: graphic
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
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+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
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+  - name: code
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+  - name: validation
+    num_bytes: 15527102.264
+    num_examples: 1024
+  download_size: 360711845
+  dataset_size: 417242366.728
+- config_name: math
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
+      dtype: string
+  - name: data
+    dtype: string
+  - name: code
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 6288774127.884
+    num_examples: 66714
+  - name: validation
+    num_bytes: 97463564.56
+    num_examples: 1024
+  download_size: 6245281939
+  dataset_size: 6386237692.444
+- config_name: music
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
+      dtype: string
+  - name: data
+    dtype: string
+  - name: code
+    dtype: string
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+  - name: train
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+    num_examples: 11969
+  - name: validation
+    num_bytes: 4754704.0
+    num_examples: 128
+  download_size: 397428056
+  dataset_size: 441251327.452
+- config_name: nutrition
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
+      dtype: string
+  - name: data
+    dtype: string
+  - name: code
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1445696898.35
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+  - name: validation
+    num_bytes: 27712685.0
+    num_examples: 128
+  download_size: 1410256975
+  dataset_size: 1473409583.35
+- config_name: table
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: qa_pairs
+    sequence:
+    - name: question
+      dtype: string
+    - name: explanation
+      dtype: string
+    - name: answer
+      dtype: string
+  - name: metadata
+    struct:
+    - name: figure_type
+      dtype: string
+    - name: persona
+      dtype: string
+    - name: topic
+      dtype: string
+  - name: data
+    dtype: string
+  - name: code
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 7026511042.24
+    num_examples: 46518
+  - name: validation
+    num_bytes: 152040498.064
+    num_examples: 1024
+  download_size: 6918074537
+  dataset_size: 7178551540.304
+configs:
+- config_name: chart
+  data_files:
+  - split: train
+    path: chart/train-*
+  - split: validation
+    path: chart/validation-*
+- config_name: chemical
+  data_files:
+  - split: train
+    path: chemical/train-*
+  - split: validation
+    path: chemical/validation-*
+- config_name: circuit
+  data_files:
+  - split: train
+    path: circuit/train-*
+  - split: validation
+    path: circuit/validation-*
+- config_name: diagram
+  data_files:
+  - split: train
+    path: diagram/train-*
+  - split: validation
+    path: diagram/validation-*
+- config_name: document
+  data_files:
+  - split: train
+    path: document/train-*
+  - split: validation
+    path: document/validation-*
+- config_name: graphic
+  data_files:
+  - split: train
+    path: graphic/train-*
+  - split: validation
+    path: graphic/validation-*
+- config_name: math
+  data_files:
+  - split: train
+    path: math/train-*
+  - split: validation
+    path: math/validation-*
+- config_name: music
+  data_files:
+  - split: train
+    path: music/train-*
+  - split: validation
+    path: music/validation-*
+- config_name: nutrition
+  data_files:
+  - split: train
+    path: nutrition/train-*
+  - split: validation
+    path: nutrition/validation-*
+- config_name: table
+  data_files:
+  - split: train
+    path: table/train-*
+  - split: validation
+    path: table/validation-*
+---
+
+# CoSyn-400k
+CoSyn-400k is a collection of synthetic question-answer pairs about very diverse range of computer-generated images. 
+The data was created by using the [Claude large language model](https://claude.ai/) to generate code that can be executed to render an image, 
+and using [GPT-4o mini](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) to generate Q/A pairs based on the code (without using the rendered image). 
+The code used to generate this data is [open source](https://github.com/allenai/pixmo-docs). 
+Synthetic pointing data is available in a [seperate repo](https://huggingface.co/datasets/allenai/CoSyn-point). 
+
+Quick links:
+- 📃 [CoSyn Paper](https://arxiv.org/pdf/2502.14846)
+- 📃 [Molmo Paper](https://molmo.allenai.org/paper.pdf)
+
+
+## Loading
+The dataset has several subsets:
+  - chart
+  - chemical
+  - circuit
+  - diagram
+  - document
+  - graphic
+  - math
+  - music
+  - nutrition
+  - tableuments
+
+Use `config_name` to specify which one to load, by default `chart` will be loaded. For example:
+
+```python
+table_dataset = datasets.load_dataset("allenai/CoSyn-400K", "table", split="train")
+```
+
+## Data Format
+The rendered image is included in the dataset directly:
+
+```python
+print(table_dataset[0]["image"])
+# >>> PIL.PngImagePlugin.PngImageFile image mode=RGB size=2400x1200 at 0x7F362070CEB0>
+```
+
+Each image is matched with multiple question-answer pairs:
+
+```python
+for q, a in zip(table_dataset[0]["questions"]["question"], table_dataset[0]["questions"]["answer"]):
+  print(q, a)
+# >>>
+# What is the waist circumference range for adult females? 64-88 cm
+# What is the weight range for children aged 2-12 years? 10-45 kg
+# Is the BMI range for infants provided in the table? No
+# Which age group has the highest resting heart rate range? Infants (0-1 year)
+# What is the difference in lung capacity range between adolescents and elderly? Maximum difference: 0.5 L, Minimum difference: 1.5 L
+# Do adult males have a higher blood pressure range than adolescents? Yes
+# What is the average height of elderly females compared to male adolescents? Male adolescents are taller by 10 cm
+# Does the table provide a consistent BMI range across all groups for females? Yes
+# Which gender has a lower average hip circumference range among the elderly? Females have a lower average hip circumference
+```
+
+## Splits
+The data is divided into validation and train splits. These splits are "unofficial" because we do not generally use this data for evaluation anyway. However,
+they reflect what we used when training.
+
+## License
+This dataset is licensed by ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use).
+This dataset includes output images derived from code generated from Claude that are subject to Anthropic [terms of service](https://www.anthropic.com/legal/commercial-terms) and [usage policy](https://www.anthropic.com/legal/aup).
+The questions were generated from GPT-4o Mini and are subject to [separate terms](https://openai.com/policies/row-terms-of-use) governing their use.
+
+## Citation
+Please cite the following papers if you use this dataset in your work.
+
+```bibtex
+@article{yang2025scaling,
+      title={Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation},
+      author={Yang, Yue and Patel, Ajay and Deitke, Matt and Gupta, Tanmay and Weihs, Luca and Head, Andrew and Yatskar, Mark and Callison-Burch, Chris and Krishna, Ranjay and Kembhavi, Aniruddha and others},
+      journal={arXiv preprint arXiv:2502.14846},
+      year={2025}
+}
+```
+
+```bibtex
+@article{deitke2024molmo,
+  title={Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models},
+  author={Deitke, Matt and Clark, Christopher and Lee, Sangho and Tripathi, Rohun and Yang, Yue and Park, Jae Sung and Salehi, Mohammadreza and Muennighoff, Niklas and Lo, Kyle and Soldaini, Luca and others},
+  journal={arXiv preprint arXiv:2409.17146},
+  year={2024}
+}
+```
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