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--- |
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license: odc-by |
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language: |
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- en |
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tags: |
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- math |
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- education |
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--- |
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# Dataset Card for MathFish Tasks |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset is a derivative of [MathFish](https://huggingface.co/datasets/allenai/mathfish), where dev set examples are inserted into prompts for models to assess their abilities to verify and tag standards in math problems. |
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See [MathFish](https://huggingface.co/datasets/allenai/mathfish) for more details on sources, creation, and uses of this data. |
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This data can be used in conjunction with our model API wrapper included in this [Github repository](https://github.com/allenai/mathfish/tree/main). |
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## Dataset Details |
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### Dataset Description |
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- **Curated by:** Lucy Li, Tal August, Rose E Wang, Luca Soldaini, Courtney Allison, Kyle Lo |
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- **Funded by:** The Gates Foundation |
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- **Language(s) (NLP):** English |
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- **License:** ODC-By 1.0 |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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Files are named in the following manner: |
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``` |
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data_{task format}-{mathfish data split}_{other parameters}_{prompt number}_{table format}.jsonl |
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``` |
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Each line in a tagging file is formatted as the following: |
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``` |
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{ |
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"id": unique instance ID |
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"dataset": some grouping of instances within a given task format, |
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"messages": [ |
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{ |
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"role": "user", |
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"prompt_template": "", |
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"options": [ |
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# a list of tagging options |
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], |
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"problem_activity": "", |
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}, |
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{ |
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"role": "assistant", |
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"response_template": "{option}", |
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"response_format": "", # e.g. json or comma-separated list |
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"correct_option_index": [ |
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# integer indices here that correspond to "options" above |
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] |
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} |
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] |
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} |
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``` |
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Each instance may also include keys indicating few-shot exemplars. |
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Note that files labeled with `entailment` are inputs for the task we call "verification" in our paper. In verification files, the format is similar to tagging above, but instead of an `options` key, there is a `standards_description` key including a natural language description of a math standard, and the assistant's dictionary includes a yes/no entry for whether the given problem `aligns` with the described standard. |
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## Dataset Creation |
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The prompts in this repository are filtered by testing 15 possible prompts from [this file](https://github.com/allenai/mathfish/blob/main/mathfish/datasets/prompts.json) across three models: Llama 2 70B, Mixtral 8x7B, and GPT-4-turbo. This repo includes each models' top three performing prompts on tagging and verification tasks, to facilitate reproducibility of the findings in our paper (link TBD). |
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## Citation |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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BibTeX TBD |
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## Dataset Card Contact |
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[email protected] |
