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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- gaze, hallucination |
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--- |
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## Dataset Details |
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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) . |
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We collect a first-of-its-kind eye-tracking data, IITB-HGC, in which we employ 5 annotators for annotating 500 instances of claim-context pairs, carefully derived from the FactCC dataset (Kryscinski et al., 2020). During the annotation process, we capture the fixation durations of annotators on both the claim and |
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context texts, along with their corresponding labels. |
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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: |
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``` |
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{ |
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'trial_id' : <instance id (can take values from 1-500)> |
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'text' : <the text presented to the annotator, in a claim:context format> |
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'participant_id' : <participant id (p01, p02, p03, p04, p05)> |
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'fixation_seqs' : <sequence ids of fixations> |
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'fixation_word_ids' : <a sequence containing the ids of the words being fixated in the order in which they were fixated upon> |
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'fixation_word_texts' : <a sequence containing the words being fixated in the order in which they were fixated upon> |
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'fixation_durations' : <a sequence containing the fixation durations (in ms) in the order in which the words were fixated upon> |
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'annotator_labels' : <label given by the annotator (can take a value: hallucinated/non_hallucinated)> |
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'true_labels' : <true label from the FactCC dataset (can take a value: hallucinated/non_hallucinated)> |
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} |
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``` |
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For the code, check our [github repository](https://github.com/kishanmaharaj/gaze-hallucination-detection/). |
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## Cite the work |
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If you make use of the dataset or the code please cite our paper. |
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``` |
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@inproceedings{maharaj2023eyes, |
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title={Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection}, |
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author={Maharaj, Kishan and Saxena, Ashita and Kumar, Raja and Mishra, Abhijit and Bhattacharyya, Pushpak}, |
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booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing}, |
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year={2023} |
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} |
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``` |
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