AI Dataset2026
Provides 150,000 synthetic Vietnamese patient personas to condition clinical text generation. Each persona bundles demographics, socioeconomic context, health and behavior fields, and prompt-ready narratives; intended for research and simulation, not clinical decision-making.
AI Dataset2026
Benchmarks ASR on long-form English call-center conversations with wide accent coverage; 128.6 hours across 14 accent groups and 16 service domains, designed for segmentation-sensitive evaluation and intended for evaluation/analysis (CC BY‑SA 4.0).
AI Dataset2026
Provides a 30K+ problem multimodal, multilingual dataset of Olympiad-level math problems with expert solutions and a math-aware retrieval benchmark—includes images, hierarchical topics, provenance from official booklets, and LLM-assisted metadata (v0, CC BY 4.0).
AI Dataset2026
Provides satellite image tiles paired with per-tile land-cover captions and bounding-box overlays in SFT-compatible JSONL for supervised fine-tuning. Includes RGB chips, optional Mapbox context, metadata, and train/validation/test splits derived from Sentinel‑2 and Earth Engine labels.
AI Dataset2026
Supervised fine-tuning dataset of 7,716 reasoning-focused Q&A examples distilled from the DeepSeek‑V4‑Flash teacher; provided as a cleaned JSONL train split for distillation and SFT experiments.
AI Dataset2026
1,000 JSONL samples containing full chain-of-thought reasoning traces and final answers produced by DeepSeek‑V4‑Pro for use in student-model distillation and quality checks. Prompts sampled from Jackrong/GLM-5.1-Reasoning-1M-Cleaned; Apache‑2.0 licensed.
AI Dataset2026
Collects real-world developer–AI coding sessions with full transcripts, tool calls, agent thinking traces, Git commits, and agent vs. human code attribution. Packaged as Parquet tables (conversations, sessions, commits, checkpoints, repositories) for analysis of agent behavior and human–AI collaboration.
AI Dataset2026
Provides ~55K multimodal VQA items with matched contrastive pairs and model‑generated rationales across five categories (General, Reasoning, Math, Graph/Chart, OCR), enabling research on faithful visual reasoning and robustness. Train split: 54,844 examples; license unspecified—verify before use.
AI Dataset2026
Contains full chain-of-thought traces and final answers generated by DeepSeek-V4-Pro for use as distillation supervision. Key features: full CoT exposure, ~1,000 mixed-domain samples (JSONL/Parquet), Apache-2.0 license — suitable for training student models but watch for source contamination.
AI Dataset2026
Cleaned dataset of reasoning-distillation examples derived from Claude Opus 4.7 outputs — 4,807 retained JSON chat rows after removing simulated-thinking, duplicates, and missing fields. Packaged for model distillation and reasoning evaluation; Apache-2.0 packaging with upstream Anthropic usage constraints.
AI Dataset2026
Training dataset for byte-level language identification across 334 languages with ~2.48M paragraph samples (primarily Wikipedia and open-licensed corpora). Curated to reduce multilingual contamination, boost low-resource coverage, target frequent confusions, and preserve per-row license metadata for attribution.
AI Dataset2026
Provides 1.7M agent interaction traces in terminus-2 format for training and evaluating agentic LLMs and RL agents. Compiled from 219 source datasets across code repair, shell, math, competitive programming and general tasks; produced with the Harbor harness.