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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01gdgc-metacong /apigen-inferred apigen-inferred A verified, GPT-5.5-distilled subset of the argilla/apigen-function-calling dataset (109k rows in the upstream), with every golden tool-call argument labelled as literal or dependency-derived to enable a clean function-calling benchmark. Pipeline Filter the upstream to rows where every called API actually works (replay each tool call against the real implementation — distilabel Python functions or live RapidAPI / cached responses) → 45,984 rows. Distill… See the full description on the dataset page: https://huggingface.co/datasets/gdgc-metacong/apigen-inferred.tabulartext-generation10K<n<100K1 likes26 downloads5mo agoHugging Face02anote-ai /Research-Enterprise-Synth-API EnterpriseSynth Public API Specs and Generated Artifacts EnterpriseSynth converts OpenAPI/Swagger specifications into synthetic tool-use training and evaluation artifacts without executing live API calls. This dataset repository contains the public, redistributable dataset artifacts from anote-ai/Research-Enterprise-Synth-API: data/specs/: public OpenAPI/Swagger specs used by the experiments. data/specs/phase3/: additional public held-out API specs. data/generated/: generated… See the full description on the dataset page: https://huggingface.co/datasets/anote-ai/Research-Enterprise-Synth-API.tabulartext-generationn<1K0 likes24 downloads2mo agoHugging Face03Myashka /SO-Python_QA-API_Usage-tanh_score Stack Overflow Python Q&A Dataset Description Filtered Python Q&A with API_Usage subcategory without: Images Links Blocks of code Scores in Q1-Q3 scaled with MaxAbsScaler. Tanh function applyed to joint Scores. tabulartext-generation1K<n<10K0 likes19 downloads3y agoHugging Face04arquicanedo /self-reflective-apis Self-Reflective APIs Benchmark Dataset accompanying the paper "Self-Reflective APIs: Enhancing AI Agent Efficiency Through Structured Semantic Feedback" (Canedo, Grama — Siemens DI SW). Overview This dataset contains the benchmark tasks, experiment results, and tidy analysis table used to produce every table and figure in the paper. It covers two experimental domains (recipe conversion and billing/refund policy) and three LLM conditions across adversarial… See the full description on the dataset page: https://huggingface.co/datasets/arquicanedo/self-reflective-apis.tabulartext-generationn<1K1 likes12 downloads4mo agoHugging Face

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