Key facts
Contents & fields
The dataset contains 7 files, divided into human annotation and distant annotation parts. Human annotation includes dev.json, test.json, train.json (JSON format); distant annotation includes string_based_results.pickle and vector_based_results.pickle (pickle format); plus a README.md and a CSV file Trust_in_AI_paperlist.csv. No field-level description is publicly available on the source page.
Research uses
Suitable for research in natural language processing, trust analysis, and scientific literature mining, especially for automatically extracting novel concepts related to trust in AI from academic papers.
Information comes from the source page. Please check that page for current details and terms.
Keywords
Access and licence
Licence: License statement is still being checked | Free to access
Why this is hard to get on your own
Lack of annotated data for extracting novel concepts on trust in AI from scientific literature; this dataset provides human and distant annotation benchmarks.