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Datasets: multi_document_summarization like 1 Tasks: summarization-other-paper-abstract-generation Task Categories: summarization Languages: en Multilinguality: monolingual Size Categories: 10K<n<100K Licenses: unknown Language Creators: found Annotations Creators: found Source Datasets: original Dataset card Files and versions multi_x_science_sum / README.md lhoestq's picture lhoestq HF STAFF Update datasets task tags to align tags with models (#4067) f45f6eb 6 days ago raw history blame Safe 5.69 kB
annotations_creators: - found language_creators: - found languages: - en licenses: - unknown multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - summarization task_ids: - summarization-other-paper-abstract-generation paperswithcode_id: multi-xscience pretty_name: Multi-XScience
Dataset Card for Multi-XScience
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Repository: Multi-XScience repository
- Paper: Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Dataset Summary
Multi-XScience, a large-scale multi-document summarization dataset created from scientific articles. Multi-XScience introduces a challenging multi-document summarization task: writing the related-work section of a paper based on its abstract and the articles it references.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The text in the dataset is in English
Dataset Structure
Data Instances
{'abstract': 'Author(s): Kuperberg, Greg; Thurston, Dylan P. | Abstract: We give a purely topological definition of the perturbative quantum invariants of links and 3-manifolds associated with Chern-Simons field theory. Our definition is as close as possible to one given by Kontsevich. We will also establish some basic properties of these invariants, in particular that they are universally finite type with respect to algebraically split surgery and with respect to Torelli surgery. Torelli surgery is a mutual generalization of blink surgery of Garoufalidis and Levine and clasper surgery of Habiro.', 'aid': 'math9912167', 'mid': '1631980677', 'ref_abstract': {'abstract': ['This note is a sequel to our earlier paper of the same title [4] and describes invariants of rational homology 3-spheres associated to acyclic orthogonal local systems. Our work is in the spirit of the Axelrod–Singer papers [1], generalizes some of their results, and furnishes a new setting for the purely topological implications of their work.', 'Recently, Mullins calculated the Casson-Walker invariant of the 2-fold cyclic branched cover of an oriented link in S^3 in terms of its Jones polynomial and its signature, under the assumption that the 2-fold branched cover is a rational homology 3-sphere. Using elementary principles, we provide a similar calculation for the general case. In addition, we calculate the LMO invariant of the p-fold branched cover of twisted knots in S^3 in terms of the Kontsevich integral of the knot.'], 'cite_N': ['@cite_16', '@cite_26'], 'mid': ['1481005306', '1641082372']}, 'related_work': 'Two other generalizations that can be considered are invariants of graphs in 3-manifolds, and invariants associated to other flat connections @cite_16 . We will analyze these in future work. Among other things, there should be a general relation between flat bundles and links in 3-manifolds on the one hand and finite covers and branched covers on the other hand @cite_26 .'}
Data Fields
{abstract: text of paper abstract
aid: arxiv id
mid: microsoft academic graph id
ref_abstract:
{
abstract: text of reference paper (cite_N) abstract
cite_N: special cite symbol,
mid: reference paper's (cite_N) microsoft academic graph id
},
related_work: text of paper related work
}
Data Splits
The data is split into a training, validation and test.
| train | validation | test |
|---|---|---|
| 50 | 10 | 5 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@article{lu2020multi,
title={Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles},
author={Lu, Yao and Dong, Yue and Charlin, Laurent},
journal={arXiv preprint arXiv:2010.14235},
year={2020}
}
Contributions
Thanks to [@arka0821] for adding this dataset.