sentence classification
task065_timetravel_consistent_sentence_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task065_timetravel_consistent_sentence_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task065_timetravel_consistent_sentence_classification.chatgpt-classification-sentence-levelSentence-Classification-and-NER-Mix-Datasets-SCNMThe dataset of SLG framework. The paper as the following:
https://link.springer.com/chapter/10.1007/978-3-031-35320-8_18
arxiv : https://arxiv.org/abs/2306.15978
Paper code is opensource in GitHub:
https://github.com/ganchengguang/SLG-framework
Cite BibTex:
@inproceedings{gan2023sentence,
title={Sentence-to-label generation framework for multi-task learning of japanese sentence classification and named entity recognition},
author={Gan, Chengguang and Zhang, Qinghao and Mori, Tatsunori}… See the full description on the dataset page: https://huggingface.co/datasets/ganchengguang/Sentence-Classification-and-NER-Mix-Datasets-SCNM.pragtag_sentence_classificationThis data is made available as part of the work Revise and Resubmit (https://doi.org/10.1162/coli_a_00455).
Specifically, I have processed prag.csv from the project Github page (https://github.com/UKPLab/f1000rd) to be easily used for sentence classification using HuggingFace models.
The sentences from the datasets are split into train/dev/test using the original splits.csv file from the Github repo.
qasper-sentence-classificationsentence_classification_datasetThis dataset is an automatically curated from three datasets.
Wikipedia_AfD_imperative_data
Spaadia
SquadV2
Samples from https://github.com/lettergram/sentence-classification/tree/master
Only 3 classes are available.
{"declarative": 0, "question": 1, "imperative": 2}
Note: As this dataset is automatically curated, it may not be the cleanest. Use at your own risk.