| | --- |
| | license: cc-by-sa-4.0 |
| | language: |
| | - en |
| | tags: |
| | - citation |
| | - scientific paper |
| | - grounding |
| | - source attribution |
| | - paper citations |
| | - citation benchmark |
| | - text benchmark |
| |
|
| | --- |
| | |
| | # CiteME is a benchmark designed to test the abilities of language models in finding papers that are cited in scientific texts.# |
| |
|
| |
|
| | ## Dataset Structure |
| |
|
| | The dataset is provided in CSV format and includes the following columns: |
| |
|
| | | Column Name | Description | |
| | |----------------------|------------------------------------------------------| |
| | | `id` | A unique identifier for each paper, used consistently across all experiments. | |
| | | `excerpt` | The text excerpt from the source paper that describes the target paper. | |
| | | `target_paper_title` | The title of the paper that is being cited in the excerpt. | |
| | | `target_paper_url` | The URL linking to the target paper. | |
| | | `source_paper_title` | The title of the paper from which the excerpt is taken. | |
| | | `source_paper_url` | The URL linking to the source paper. | |
| | | `year` | The publication year of the source paper. | |
| | | `split` | Indicates the dataset split: `train` or `test`. | |
| |
|
| | ### Example |
| |
|
| | | id | excerpt | target_paper_title | target_paper_url | source_paper_title | source_paper_url | year | split | |
| | |-----|---------------------------------------------------------------------------------------------------|--------------------------------------|----------------------------------------|------------------------------------|--------------------------------------|------|-------| |
| | | 1 | "As demonstrated in [Smith et al., 2020], the proposed method improves accuracy significantly." | "Improving Accuracy in ML Models" | https://example.com/target1 | "Advancements in Machine Learning" | https://example.com/source1 | 2020 | train | |
| | | 2 | "Building upon the framework introduced by [Doe, 2019], we extend the applicability to NLP tasks." | "Framework for NLP Applications" | https://example.com/target2 | "Foundations of NLP" | https://example.com/source2 | 2019 | test | |
| |
|
| |
|
| | ### Load the Dataset |
| |
|
| | You can load the dataset using popular data processing libraries such as `pandas`. |
| |
|
| | ```python |
| | import pandas as pd |
| | |
| | dataset = pd.read_csv('DATASET.csv') |
| | print(dataset.head()) |
| | ``` |
| |
|
| |
|
| | ### If you find our work helpful, please use the following citation: |
| | ``` |
| | @misc{press2024citeme, |
| | title={CiteME: Can Language Models Accurately Cite Scientific Claims?}, |
| | author={Ori Press and Andreas Hochlehnert and Ameya Prabhu and Vishaal Udandarao and Ofir Press and Matthias Bethge}, |
| | year={2024}, |
| | eprint={2407.12861}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.AI}, |
| | url={https://arxiv.org/abs/2407.12861} |
| | } |
| | ``` |
