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--- |
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license: mit |
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tags: |
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- natural-language-understanding |
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language_creators: |
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- expert-generated |
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- machine-generated |
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language: |
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- en |
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multilinguality: |
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- multilingual |
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pretty_name: Fact Completion Benchmark for Text Models |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-generation |
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- fill-mask |
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- text2text-generation |
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task_ids: |
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- fact-checking |
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--- |
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# Dataset Card for Fact_Completion |
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## Dataset Description |
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- **Homepage:** https://bit.ly/ischool-berkeley-capstone |
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- **Repository:** https://github.com/daniel-furman/Capstone |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** Daniel Furman (daniel_furman@berkeley.edu) |
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### Dataset Summary |
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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[More Information Needed] |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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``` |
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@misc{calibragpt, |
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author = {Shreshta Bhat and Daniel Furman and Tim Schott}, |
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title = {CalibraGPT: The Search for (Mis)Information in Large Language Models}, |
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year = {2023}, |
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publisher = {GitHub}, |
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journal = {GitHub repository}, |
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howpublished = {\url{https://github.com/daniel-furman/Capstone}}, |
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} |
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``` |
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``` |
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@misc{dong2022calibrating, |
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doi = {10.48550/arXiv.2210.03329}, |
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title={Calibrating Factual Knowledge in Pretrained Language Models}, |
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author={Qingxiu Dong and Damai Dai and Yifan Song and Jingjing Xu and Zhifang Sui and Lei Li}, |
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year={2022}, |
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eprint={2210.03329}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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``` |
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@misc{meng2022massediting, |
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doi = {10.48550/arXiv.2210.07229}, |
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title={Mass-Editing Memory in a Transformer}, |
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author={Kevin Meng and Arnab Sen Sharma and Alex Andonian and Yonatan Belinkov and David Bau}, |
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year={2022}, |
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eprint={2210.07229}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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### Contributions |
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[More Information Needed] |
