Update parquet files

data/English-00000-of-00001-cac727d769ae4a24.parquet → CalibraGPT--Fact_Checking/parquet-English.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8c70318ed3c69f3b35ef8df52fb23f2f7dda6230288dbd7243ca981b394bee3
-size 2165690
+oid sha256:8951000d3311209931a2de642b43630f387f86a7dab056616ddf24ffe0bed7a5
+size 2390502

README.md

@@ -1,173 +0,0 @@
----
-license: mit
-tags:
-- natural-language-understanding
-language_creators:
-- expert-generated
-- machine-generated
-language:
-- en
-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_info:
-  features:
-  - name: dataset_id
-    dtype: string
-  - name: stem
-    dtype: string
-  - name: 'true'
-    dtype: string
-  - name: 'false'
-    dtype: string
-  - name: relation
-    dtype: string
-  - name: subject
-    dtype: string
-  - name: object
-    dtype: string
-  splits:
-  - name: English
-    num_bytes: 4486777
-    num_examples: 33316
-  download_size: 2165690
-  dataset_size: 4486777
----
-# 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:** [email protected]
-
-### 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}
-}
-```
-
-### Contributions
-
-[More Information Needed]