Update README.md

README.md

@@ -4,4 +4,37 @@ language:
 - en
 tags:
 - gaze, hallucination
----
+---
+
+## Dataset Details
+
+This repository consists the eye-tracking dataset released as part of EMNLP 2023 paper: [Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection](https://aclanthology.org/2023.findings-emnlp.764.pdf) . 
+
+The dataset is formatted as a jsonl file ([jsonlines-guide](https://jsonlines.org/)). Each line can be loaded as a json object, and has the following format:
+
+```
+{
+    'trial_id'            :   <instance id (can take values from 1-500)>
+    'text'                :   <the text presented to the annotator, in a claim:context format>
+    'participant_id'      :   <participant id (p01, p02, p03, p04, p05)>
+    'fixation_seqs'       :   <sequence ids of fixations>
+    'fixation_word_ids'   :   <a sequence containing the ids of the words being fixated in the order in which they were fixated upon>
+    'fixation_word_texts' :   <a sequence containing the words being fixated in the order in which they were fixated upon>
+    'fixation_durations'  :   <a sequence containing the fixation durations (in ms) in the order in which the words were fixated upon>
+    'annotator_labels'    :   <label given by the annotator (can take a value: hallucinated/non_hallucinated)>
+    'true_labels'         :   <true label from the FactCC dataset (can take a value: hallucinated/non_hallucinated)>
+}
+```
+
+## Cite the work
+
+If you make use of the dataset or the code please cite our paper.
+
+```
+@inproceedings{maharaj2023eyes,
+  title={Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection},
+  author={Maharaj, Kishan and Saxena, Ashita and Kumar, Raja and Mishra, Abhijit and Bhattacharyya, Pushpak},
+  booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
+  year={2023}
+}
+```