Update README.md

README.md

@@ -62,7 +62,7 @@ task_ids:
 
 ### Dataset Summary
 
-This dataset comprises of open-domain question-answer pairs obtained from extracting 100K FAQ URLs from C4 dataset. Please refer to the original [`paper`](https://arxiv.org/abs/1910.10683) and [`dataset card`](https://huggingface.co/datasets/c4) for more details.
+This dataset comprises of open-domain question-answer pairs obtained from extracting 150K FAQ URLs from C4 dataset. Please refer to the original [`paper`](https://arxiv.org/abs/1910.10683) and [`dataset card`](https://huggingface.co/datasets/c4) for more details.
 
 You can load C4-FAQs as follows:
 ```python
@@ -106,60 +106,30 @@ The data have several fields:
 
 ### 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]
+The dataset was curated to create end-to-end Question Generation pipelines. A large amount of open-source models use [`SQuAD`](https://huggingface.co/datasets/squad) dataset to create answer-agnostic question generation models. While the questions are valid, they often are short factoid in nature. This dataset is curated from FAQs of websites, which are generally hand-crafted and can be used to further improve generated question quality.
 
 ## Additional Information
 
 ### Dataset Curators
 
-[More Information Needed]
+Original data by [Common Crawl](https://commoncrawl.org/).
 
 ### Licensing Information
 
-[More Information Needed]
+The original dataset was released under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.
 
 ### Citation Information
 
-[More Information Needed]
-
-### Contributions
-
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
+If you use this dataset, I would love to hear about it! Reach out on GitHub, twitter or shoot me an email.
+
+To cite the original `c4` dataset:
+```bibtex
+@article{2019t5,
+    author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+    title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+    journal = {arXiv e-prints},
+    year = {2019},
+    archivePrefix = {arXiv},
+    eprint = {1910.10683},
+}
+```