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Hugging Face
AI Dataset·2026
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Prompt Routing Dataset

SupraLabs

Provides labeled prompts with full-reference answers (including chain-of-thought and code blocks) and per-example metadata to train edge routing/orchestrator models that decide whether to handle inputs locally or route them to larger models. Includes complexity scores, coding/math flags, routing justifications, and an automated override rule; suited for fine-tuning small models (50M–1.5B) for edge deployment.

#prompt-engineering#llm#nlp#pandas#polars+4
Hugging Face
AI Dataset·2026
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Reasoning Corpus 5M

Qyrou·QyrouNnet-AI, SupraLabs

Provides ~5M model-generated reasoning chains (within 5k sequence length) with structured fields for supervised fine-tuning, reasoning distillation, and instruction tuning. Includes separate fields for prompt, reasoning trace, final answer and a ChatML view; streaming access recommended for large-scale use.

#reasoning#distillation#deepseek#qwen#gemma+7
Hugging Face
AI Dataset·2026
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Reasoning Corpus 5M

SupraLabs

Provides ~5M tokens of chain-of-thought reasoning traces generated by many LLMs (DeepSeek, Qwen, Gemma, etc.) for training and evaluating reasoning SLMs — includes repo_id, tok_len, user, thought_trace, assistant and ChatML fields; sequences limited to 5k.

#reasoning#deepseek#qwen#code#pandas+4
Hugging Face
AI Dataset·2026
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Digital Hospital Environment

Yatin Taneja·IM Superintelligence

Evaluates agents inside a structured hospital workflow via a downloadable FastAPI runtime that enforces role-specific tool permissions, evidence-before-treatment discipline, deterministic grading, dense process rewards, and full trajectory logging. Designed for RL, offline policy learning, multi-agent workflow research and process-supervision datasets; not for real patient care.

#evaluation#RL#agent-skills#ai-agent#reasoning+4
Hugging Face
AI Dataset·2026
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GLM-5.2 Conversation

ianncity

50,000 distilled conversational traces (≈120M tokens) generated from GLM-5.2 for high-reasoning text generation and QA, covering STEM, programming, creative and support dialogues; Apache-2.0 licensed.

#huggingface#distillation#reasoning#llm#nlp+8
Hugging Face
AI Dataset·2026
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Claude Fable 5 Agent Traces

greghavens

Provides behavior-preserving next-step training traces from Claude Fable 5 for supervised fine-tuning and analysis of instruction-following, tool-calling, and coding agents. Runtime-normalized, independently verified, and supplied as Parquet/JSONL with 13,357 cumulative rows from 2,443 accepted trajectories.

#huggingface#anthropic#claude#ai-coding#code+6
Hugging Face
AI Dataset·2026
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SynthComp

t-tech

Evaluates retrievers and search agents on synthetic multi-hop questions that require assembling a complete set of supporting evidence. Provides English and Russian variants (395 questions each), a fixed dense index embedded with Qwen3-Embedding-8B, and BrowseComp-Plus evaluation integrations.

#qwen#evaluation#retrieval#web-search#benchmark+6
Hugging Face
AI Dataset·2026
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GLM 5.2 Agent Traces

greghavens

Behavior-preserving dataset of GLM 5.2 coding and debugging agent trajectories for supervised fine-tuning and analysis; contains 1,821 cumulative next-step rows from 207 verified trajectories with multi-turn tool use, build-test-fix loops, and runtime-normalized traces.

#huggingface#coding#code#ai-agent#agent-skills+4
Hugging Face
AI Dataset·2026
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TRuST

t-tech

Provides 324 Russian short-answer web-search tasks with gold supporting documents to evaluate fixed-index retrievers and search agents. Tasks span eight topical categories and five retrieval challenge types (multihop, structured evidence, temporal, entity disambiguation, comparative) and use a Qwen3-Embedding-8B index for evaluation.

#qwen#evaluation#embeddings#nlp#llm+4
Hugging Face
AI Dataset·2026
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ARC-AGI-3 Schema Gameplay Trajectories

schema-harness

Provides 50 ARC‑AGI‑3 gameplay trajectories (GPT‑5.6 Sol and Claude Opus/Fable) plus a dependency‑free scorer and event logs; includes sanitized session data, snapshots, and utilities to recompute RHAE scores for reproducible agent evaluation and cross-model comparison.

#evaluation#agent-skills#LLM#huggingface#polars+5
Hugging Face
AI Dataset·2026
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Kimi K3 Coding & Debugging Agent Traces

greghavens·greghavens, moonshiner +3

Provides verified, model-attested end-to-end agent coding and debugging trajectories (JSONL). Each whole-session trace was produced by moonshotai/kimi-k3 on the pi/openrouter runtime, passed acceptance tests and independent model screening — useful for SFT, distillation, and analyzing tool-use behavior.

#huggingface#ai-coding#ai-agent#agent-skills#pi+6
Hugging Face
AI Dataset·2026
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HiFi-UMI-2K

Yuteng Wei, Jinming Ma +15·Simple AI

Provides 2,000 hours of synchronized, high‑fidelity robot‑free bimanual manipulation demonstrations with multi‑view video, calibrated end‑effector trajectories, gripper states, and language annotations. Curated from a 20,000+ hour corpus; features 6 camera views, ~3 mm pose accuracy, <40 µs cross‑sensor sync, and LeRobot v3‑style Parquet+MP4 export under CC BY 4.0.

#robotics#video#multimodal#parquet#huggingface+3
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