Update README.md

README.md

@@ -138,4 +138,38 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+license: mit
+language:
+- en
+pretty_name: Semantically-augmented FEVER for NLI
+size_categories:
+- 10K<n<100K
 ---
+# Semantically-augmented FEVER for NLI
+
+This dataset is a random downsample of the [FEVER dataset adapted for NLI](https://github.com/easonnie/combine-FEVER-NSMN/blob/master/other_resources/nli_fever.md).
+We downsampled the training and development set to 25% of the original, and recovered labels for the development set from the original [FEVER dataset](https://huggingface.co/datasets/fever/fever).
+
+The dataset is also augmented with semantic annotations such as Word Sense Disambiguation (WSD) and Semantic Role Labeling (SRL) information.
+We annotated the whole downsampled dataset (both `premise` and `hypothesis`) with [AMuSE-WSD](https://aclanthology.org/2021.emnlp-demo.34) (Orlando et al., EMNLP 2021) and [InVeRo](https://aclanthology.org/2020.emnlp-demos.11) (Conia et al., EMNLP 2020). 
+
+
+## Dataset Creation
+
+The idea was to curate a version of the FEVER dataset adapted to the NLI task for Homework 2 of the Multilingual Natural Language Processing 2024 course at Sapienza University of Rome.
+
+We sourced the data following the instructions in [this repo](https://github.com/easonnie/combine-FEVER-NSMN/blob/master/other_resources/nli_fever.md), modifying the labels to the following schema:
+
+```json
+{
+  "id": ..., # the FEVER dataset ID
+  "premise": ..., # the context in FEVER
+  "hypothesis": ..., # the query in FEVER
+  "label": ..., # mapped version of FEVER, where 'supports' -> 'entailment', 'refutes' -> 'contradiction' and 'not enough info' -> 'neutral'
+}
+```
+
+We filtered out any sample with an empty premise (a minority of the data) and downsampled both `train_fitems.jsonl` and `dev_fitems.jsonl` to 25% of their total size.
+We then recovered the labels for the development set from the `labelled_dev` split in the [original FEVER](https://huggingface.co/datasets/fever/fever) and split the development set into the final `dev.jsonl` and `test.jsonl`.
+
+Finally, we ran both AMuSE-WSD and InVeRo to augment our samples with WSD and SRL annotations, respectively.