Updated README

README.md

@@ -26,8 +26,15 @@ pretty_name: CRA
 
 Datasets are taken from Facebook's [CRAG: Comprehensive RAG Benchmark](https://github.com/facebookresearch/CRAG), see their [arXiv paper](https://arxiv.org/abs/2406.04744) for details about the dataset construction.
 
+CRAG (Comprehensive RAG Benchmark) is a rich and comprehensive factual question answering benchmark designed to advance research in RAG. The public version of the dataset includes:
+- 2706 Question-Answer pairs
+- 5 domains: Finance, Sports, Music, Movie, and Open domain
+- 8 types of questions (see image below): simple, simple with condition, set, comparison, aggregation, multi-hop, post-processing heavy, and false premise
+
+![](figs/CRAG_table_2.png)
+
 The datasets `crag_task_1_and_2_dev_v4_subsample_*.json.bz2` have been created from the dataset [crag_task_1_and_2_dev_v4.jsonl.bz2](https://github.com/facebookresearch/CRAG/raw/refs/heads/main/data/crag_task_1_and_2_dev_v4.jsonl.bz2?download=) available on CRAG's GitHub repository. 
-For an easier handling and download of the dataset, we have split the 2706 rows of the original file in 5 subsamples, following the procedure below: 
+For an easier handling and download of the dataset, we have used the script [crag_to_subsamples.py](https://huggingface.co/datasets/Quivr/crag/blob/main/crag_to_subsamples.py) to split the 2706 rows of the original file in 5 subsamples, following the procedure below: 
 1. We have created a new label `answer_type`, classifying the answers in 3 categories:
       - `invalid` for any answer == "invalid question"
       - `no_answer` for any answer == "i don't know"