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Table · dataset · 2022

DanL/scientific-challenges-and-directions-dataset

Listed in Hugging Face Datasets

Dataset Card for scientific-challenges-and-directions Dataset

Description

Summary

The scientific challenges and directions dataset is a collection of 2894 sentences and their surrounding contexts, from 1786 full-text papers in the CORD-19 corpus, labeled for classification of challenges and directions by expert annotators with biomedical and bioNLP backgrounds. At a high level, our labels are defined as follows: Challenge: A sentence mentioning a problem, difficulty, flaw… See the full description on the dataset page: huggingface.co/datasets/DanL/scientific-challenges-and-directions-dataset.

Links

Documentation and papers

Catalogue records · 1

Topics

Stated by source
text · text classification
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsDanL/scientific-challenges-and-directions-dataset14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0