datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CQs-Gen
Critical Questions Generation Dataset: CQs-Gen
This dataset is designed to benchmark the ability of language models to generate critical questions (CQs) for argumentative texts. Each instance consists of a naturally occurring argumentative intervention paired with multiple reference questions, annotated for their usefulness in challenging the arguments.
Dataset Overview
Number of interventions: 220
Average intervention length: 738.4 characters
Average number of… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/CQs-Gen.cqs-code-search-200k
CQS Code Search 200K
Balanced code search training dataset with call graph metadata.
Overview
199,998 (query, code) pairs across 9 programming languages, extracted from ~5,000 high-quality GitHub repositories using cqs semantic code indexing.
Unique features:
Perfectly balanced: 22,222 pairs per language
Call graph metadata: caller/callee names per function (from tree-sitter AST analysis)
Enriched NL queries: generated from type signatures, doc comments, and call context… See the full description on the dataset page: https://huggingface.co/datasets/jamie8johnson/cqs-code-search-200k.