| # **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()) | |
| ``` | |
| ## Dataset Structure | |
| ### 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} | |
| } | |
| ``` | |
| ## License | |
| CC-BY-4.0 | |