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Hugging Face
AI Dataset·2026
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lordx64/agentic-distill-fable-5-sft

lordx64·lordx64, Glint-Research

Provides 4,659 agentic single-turn SFT training pairs extracted from Claude Fable‑5, formatted as a single-column parquet for Qwen-style fine-tuning. Includes explicit chain-of-thought (<think>) blocks, XML-serialized <tool_use> calls, PII redaction, and AGPL-3.0 licensing.

#huggingface#claude#qwen#anthropic#ai-agent+5
Hugging Face
AI Dataset·2026
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Glint-Research/Fable-5-traces

Glint-Research

A collection of 953 JSON-formatted Fable 5 interaction traces (includes chain-of-thought entries), published on Hugging Face under AGPL-3.0 — meant for fine-tuning or analyzing LLM behavior but subject to license and provenance constraints.

#huggingface#pandas#nlp#llm#ai-train+1
Hugging Face
AI Dataset·2026
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ABC-130k

XDOF, UC Berkeley +3

Provides 130k+ bimanual teleoperation trajectories for robot imitation learning, recorded on low-cost YAM two-arm rigs and shared as MCAP episodes with subtask annotations, training code, and checkpoints.

#robotics#video#huggingface#ai-train#ai-development
Hugging Face
AI Dataset·2026
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Nemotron-Personas-Belgium

Pieter Delobelle, Pierre-Carl Langlais +12·Pleias, NVIDIA Corporation +1

Provides 1.8M synthetic Belgian personas (1.2M records; 300k per language) in Dutch/French/German/English, grounded in Belgian census distributions to improve representativeness for LLM training and evaluation. Includes 23 persona and contextual fields, CC BY 4.0 license, produced with NeMo Data Designer.

#nvidia#huggingface#nlp#LLM#gemma+3
Hugging Face
AI Dataset·2026
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Claude Fable-5 Code

PawanKrd

Contains 603 coding and math prompt–response pairs produced by Claude Fable‑5 (generated 2026-06-10), provided as a JSONL subset for fine-tuning, evaluation, and behavior analysis. Responses are 'non-thinking' (no chain-of-thought); small, anonymized, and lacking an explicit license.

#code#claude#claude-code#huggingface#json+4
Hugging Face
AI Dataset·2026
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arXiv LaTeX Source Dataset

scholarweave

Provides pre-parsed arXiv LaTeX source files aligned with official metadata as ready-to-query Parquet rows. Bundles each paper's .tex/.bib/.sty etc. into a single readable tree, updates monthly, and simplifies large-scale access for LLM pretraining, document understanding, and citation analysis while requiring adherence to original arXiv licenses.

#paper#huggingface#science#llm#ai-development+2
Hugging Face
AI Dataset·2026
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DECOMEG — Brain Activity During Typing (MEG & EEG)

Jarod Lévy, Mingfang Zhang +5·Basque Center on Cognition, Brain and Language (BCBL), HybridMojo LLC +1

Provides de-identified MEG and EEG recordings of 35 native Spanish speakers typing memorized sentences, with synchronized behavioral logs and standardized event tables. Includes raw .fif and BrainVision files plus MATLAB logs (≈262 GB total); released under CC BY-NC 4.0 for non-commercial research on brain-to-text decoding.

#huggingface#science#ai#nlp#python
Hugging Face
AI Dataset·2026
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Complete FABLE.5 Traces 2M

Crownelius

Provides a deduplicated 2.0M-row corpus of FABLE.5 / Mythos agent traces with row-level provenance and session-limit rows removed. Includes canonical Parquet and gzip JSONL exports, SHA256 row hashes, and provenance fields for tracing first-source datasets.

#huggingface#claude-code#vibe-coding#llm#nlp+4
Hugging Face
AI Dataset·2026
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AFTER

Julia Belikova, Rauf Parchiev +5

Benchmark for evaluating procedural skill evolution in LLM agents: isolates reusable skill bodies, role-specific work surfaces, and hidden oracle assets to measure whether skill refinements transfer across tasks, roles, and model backbones. Includes 382 workplace tasks, 22 skills, and a controlled evaluation protocol.

#evaluation#agent-skills#huggingface#llm#ai-agent+2
Hugging Face
AI Dataset·2026
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GLM-5.2 Agent traces

AletheiaResearch, TeichAI

Provides 319 newline-delimited JSON agent session traces captured from GLM-5.2 using Teich for training agentic models. Preserves reasoning-first assistant fragments, tool-call events, and a dataset-level training-ready tool schema; convertible to OpenAI-style JSONL for SFT/distillation.

#llm#ai-agent#huggingface#json#ai-train+1
Hugging Face
AI Dataset·2026
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Nemotron-SFT-SWE-v3.5

NVIDIA

Provides agentic instruction‑tuning trajectories for software‑engineering tasks, formatted for supervised fine‑tuning and agent training. Contains multi‑file edits, tests, docs and structured agent traces (≈5,115 records, 1.9 GiB). Intended for commercial use; licensed CC‑BY 4.0 with additional permissive licenses.

#nvidia#huggingface#swe#software-engineering#coding-agents+6
Hugging Face
AI Dataset·2026
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WGO-Bench

Macrodata Labs, InternRobotics +1

Provides a small, manually annotated benchmark for evaluating vision–language models that convert robot and egocentric manipulation videos into timestamped subtask segments and concise action labels. Contains 100 episodes, 743 gold segments, and MP4 bytes embedded per row.

#video#robotics#ai-video#evaluation#huggingface+2
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