readme

README.md

@@ -15,12 +15,31 @@ task_ids:
 
 
 Adapted from this [repo](https://github.com/armancohan/long-summarization).\
-Note that original data are pre-tokenized. This dataset returns ' '.join(text).\
+Note that original data are pre-tokenized so this dataset returns " ".join(text).\
+This dataset returns .\
 This dataset is compatible with the [`run_summarization.py`](https://github.com/huggingface/transformers/tree/master/examples/pytorch/summarization) script from Transformers if you add this line to the `summarization_name_mapping` variable:
 ```python
 "ccdv/pubmed-summarization": ("article", "abstract")
 ```
 
+### Data Fields
+
+- `id`: paper id
+- `article`: a string containing the body of the paper
+- `abstract`: a string containing the abstract of the paper
+
+### Data Splits
+
+This dataset has 3 splits: _train_, _validation_, and _test_. \
+Token counts are white space based.
+
+| Dataset Split | Number of Instances |     Avg. tokens       |
+| ------------- | --------------------|:----------------------|
+| Train         | 119,924             |      3043 / 215       |
+| Validation    | 6,633               |      3111 / 216       |
+| Test          | 6,658               |      3092 / 219       |
+
+
 # Cite original article
 ```
 @inproceedings{cohan-etal-2018-discourse,