Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
| datacite.relation.isSupplementTo | https://arxiv.org/abs/2410.02028 | |
| dc.contributor.author | Ruan, Qian | |
| dc.contributor.author | Kuznetsov, Ilia | |
| dc.contributor.author | Gurevych, Iryna | |
| dc.date.accessioned | 2024-10-02T14:49:54Z | |
| dc.date.available | 2024-10-02T14:49:54Z | |
| dc.date.created | 2024-10-02 | |
| dc.date.issued | 2024-10-02 | |
| dc.description | Re3-Sci2.0, a new large-scale dataset of 1,780 scientific document revisions with over 94k labeled edits intent. This dataset is a supplement to the EMNLP24 paper: Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. Please refer to the paper for more details (https://arxiv.org/abs/2410.02028). | de_DE |
| dc.description.version | Re3-Sci2.0_vr1 | de_DE |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4355 | |
| dc.language.iso | en | de_DE |
| dc.rights.license | CC-BY-NC-4.0 (https://creativecommons.org/licenses/by-nc/4.0) | |
| dc.subject | Document Revision | de_DE |
| dc.subject | Edit Annotations | de_DE |
| dc.subject | Peer Review | de_DE |
| dc.subject.classification | 4.43-04 | |
| dc.subject.classification | 4.43-05 | |
| dc.subject.ddc | 004 | |
| dc.title | Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions | de_DE |
| dc.type | Dataset | de_DE |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |
| tuda.project | EC/HE | 101054961 | InterText | |
| tuda.project | DFG | GU798/28-1 | PEER: Eine computerg | |
| tuda.project | HMWK | III L6-519/05.000.002-(0002) | LOEWE-Spitzenprofess | |
| tuda.unit | TUDa |
Files
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| Name | Description | Size | Format | |
|---|---|---|---|---|
| data_Re3-Sci2.0.zip | Re3-Sci2.0_v1 | 141.13 MB | ZIP-Archivdateien |