Draft README for WebSRC

Author: hunterheiden

Diff for: lmms_eval/tasks/websrc/README.md

@@ -1 +1,51 @@
-# WebSRC
+# WebSRC
+
+## Paper 
+
+Title: WebSRC: A Dataset for Web-Based Structural Reading Comprehension
+
+Abstract: https://arxiv.org/abs/2101.09465
+
+Homepage: https://x-lance.github.io/WebSRC/#
+
+WebSRC is a dataset for web-based structural reading comprehension.
+Its full train/dev/test split contains over 400k questions across 6.4k webpages. 
+This version of the dataset does not contain OCR or original HTML, it simply treats WebSRC as a image-and-text-based multimodal Q&A benchmark on webpage screenshots.
+
+## Citation
+
+```bibtex
+@inproceedings{chen2021websrc,
+  title={WebSRC: A Dataset for Web-Based Structural Reading Comprehension},
+  author={Chen, Xingyu and Zhao, Zihan and Chen, Lu and Ji, Jiabao and Zhang, Danyang and Luo, Ao and Xiong, Yuxuan and Yu, Kai},
+  booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
+  pages={4173--4185},
+  year={2021}
+}
+```
+
+## Groups & Tasks
+
+### Groups 
+
+- `websrc`: Evaluates `websrc-val` and generates a submission file for `websrc-test`.
+
+### Tasks
+
+- `websrc-val`: Given a question and a web page, predict the answer.
+- `websrc-test`: Given a question and a web page, predict the answer. Ground truth is not provided for this task.
+
+## Metrics
+
+This task uses SQUAD-style evaluation metrics, of which F1 score over tokens is used. 
+The orignal paper also uses Exact Match (EM) score, but this is not implemented here as that metric is more conducive for Encoder-only extraction models.
+
+### F1 Score
+
+F1 Score is the harmonic mean of precision and recall.
+We calculate precision and recall at the token level, then compute the F1 score as normal using these values.
+
+### Test Submission
+
+When evaluaing on the test split, a prediction JSON will be compiled instead of metrics computed. 
+Instructions for submission are available on the [WebSRC homepage](https://x-lance.github.io/WebSRC/#) and in their [Original GitHub Repo](https://github.com/X-LANCE/WebSRC-Baseline#obtain-test-result).