| | --- |
| | license: mit |
| | tags: |
| | - natural-language-understanding |
| | language_creators: |
| | - expert-generated |
| | - machine-generated |
| | multilinguality: |
| | - multilingual |
| | pretty_name: Fact Completion Benchmark for Text Models |
| | size_categories: |
| | - 100K<n<1M |
| | task_categories: |
| | - text-generation |
| | - fill-mask |
| | - text2text-generation |
| | task_ids: |
| | - fact-checking |
| | --- |
| | |
| | # Dataset Card for Fact_Completion |
| | |
| | ## Dataset Description |
| | |
| | - **Homepage:** https://bit.ly/ischool-berkeley-capstone |
| | - **Repository:** https://github.com/daniel-furman/Capstone |
| | - **Paper:** |
| | - **Leaderboard:** |
| | - **Point of Contact:** daniel_furman@berkeley.edu |
| |
|
| | ### Dataset Summary |
| |
|
| | 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). |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | [More Information Needed] |
| |
|
| | ### Languages |
| |
|
| | [More Information Needed] |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | [More Information Needed] |
| |
|
| | ### Data Fields |
| |
|
| | [More Information Needed] |
| |
|
| | ### Data Splits |
| |
|
| | [More Information Needed] |
| |
|
| | ## Dataset Creation |
| |
|
| | ### Curation Rationale |
| |
|
| | [More Information Needed] |
| |
|
| | ### Source Data |
| |
|
| | #### Initial Data Collection and Normalization |
| |
|
| | [More Information Needed] |
| |
|
| | #### Who are the source language producers? |
| |
|
| | [More Information Needed] |
| |
|
| | ### Annotations |
| |
|
| | #### Annotation process |
| |
|
| | [More Information Needed] |
| |
|
| | #### Who are the annotators? |
| |
|
| | [More Information Needed] |
| |
|
| | ### Personal and Sensitive Information |
| |
|
| | [More Information Needed] |
| |
|
| | ## Considerations for Using the Data |
| |
|
| | ### Social Impact of Dataset |
| |
|
| | [More Information Needed] |
| |
|
| | ### Discussion of Biases |
| |
|
| | [More Information Needed] |
| |
|
| | ### Other Known Limitations |
| |
|
| | [More Information Needed] |
| |
|
| | ## Additional Information |
| |
|
| | ### Dataset Curators |
| |
|
| | [More Information Needed] |
| |
|
| | ### Licensing Information |
| |
|
| | [More Information Needed] |
| |
|
| | ### Citation Information |
| |
|
| | ``` |
| | @misc{calibragpt, |
| | author = {Shreshta Bhat and Daniel Furman and Tim Schott}, |
| | title = {CalibraGPT: The Search for (Mis)Information in Large Language Models}, |
| | year = {2023}, |
| | publisher = {GitHub}, |
| | journal = {GitHub repository}, |
| | howpublished = {\url{https://github.com/daniel-furman/Capstone}}, |
| | } |
| | ``` |
| |
|
| | ``` |
| | @misc{dong2022calibrating, |
| | doi = {10.48550/arXiv.2210.03329}, |
| | title={Calibrating Factual Knowledge in Pretrained Language Models}, |
| | author={Qingxiu Dong and Damai Dai and Yifan Song and Jingjing Xu and Zhifang Sui and Lei Li}, |
| | year={2022}, |
| | eprint={2210.03329}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL} |
| | } |
| | ``` |
| |
|
| | ``` |
| | @misc{meng2022massediting, |
| | doi = {10.48550/arXiv.2210.07229}, |
| | title={Mass-Editing Memory in a Transformer}, |
| | author={Kevin Meng and Arnab Sen Sharma and Alex Andonian and Yonatan Belinkov and David Bau}, |
| | year={2022}, |
| | eprint={2210.07229}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL} |
| | } |
| | ``` |
| |
|
| | ``` |
| | @inproceedings{elsahar-etal-2018-rex, |
| | title = "{T}-{RE}x: A Large Scale Alignment of Natural Language with Knowledge Base Triples", |
| | author = "Elsahar, Hady and |
| | Vougiouklis, Pavlos and |
| | Remaci, Arslen and |
| | Gravier, Christophe and |
| | Hare, Jonathon and |
| | Laforest, Frederique and |
| | Simperl, Elena", |
| | booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)", |
| | month = may, |
| | year = "2018", |
| | address = "Miyazaki, Japan", |
| | publisher = "European Language Resources Association (ELRA)", |
| | url = "https://aclanthology.org/L18-1544", |
| | } |
| | |
| | ``` |
| |
|
| | ### Contributions |
| |
|
| | [More Information Needed] |
