Update README.md

README.md

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 ---
 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: 4529851
+    num_examples: 33686
+  - name: French
+    num_bytes: 4529851
+    num_examples: 33686
+  download_size: 4379770
+  dataset_size: 9059702
 ---
+# Dataset Card for Fact_Completion
+
+## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+### 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]