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Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly
While the fast-paced inception of novel tasks and new datasets helps foster active research in a community towards interesting directions, keeping track of the abundance of research activity in different areas on different datasets is likely to become increasingly difficult. The community could greatly benefit from an automatic system able to summarize scientific results, e.g., in the form of a leaderboard. In this paper we build two datasets and develop a framework (TDMS-IE) aimed at automatically extracting task, dataset, metric and score from NLP papers, towards the automatic construction of leaderboards. Experiments show that our model outperforms several baselines by a large margin. Our model is a first step towards automatic leaderboard construction, e.g., in the NLP domain.
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1b46c9ce24fc6db3 · report
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Scientific Results Extraction | NLP-TDMS (Exp, arXiv only) | TDMS-IE | Macro F1 | 8.8 | #2 of 2 | Archive leaderboard | report |
| Scientific Results Extraction | NLP-TDMS (Exp, arXiv only) | TDMS-IE | Macro Precision | 9.5 | #2 of 2 | Archive leaderboard | report |
| Scientific Results Extraction | NLP-TDMS (Exp, arXiv only) | TDMS-IE | Macro Recall | 8.6 | #2 of 2 | Archive leaderboard | report |
| Scientific Results Extraction | NLP-TDMS (Exp, arXiv only) | TDMS-IE | Micro F1 | 7.5 | #2 of 2 | Archive leaderboard | report |
| Scientific Results Extraction | NLP-TDMS (Exp, arXiv only) | TDMS-IE | Micro Precision | 6.8 | #2 of 2 | Archive leaderboard | report |
| Scientific Results Extraction | NLP-TDMS (Exp, arXiv only) | TDMS-IE | Micro Recall | 8.4 | #2 of 2 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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