Category

DROID: Distributed Robot Interaction Dataset

Large-scale in-the-wild robot manipulation dataset with ~76K teleoperated trajectories (~350 hours) that provides synchronized multi-view video, depth, camera calibration, robot state/action traces, and natural-language task instructions to train and evaluate manipulation policies and dynamics models. Collected across 564 scenes, 86 tasks, 52 buildings, on a uniform Franka Panda hardware stack and released in LeRobotDataset v3.0 format (≈707 GB, OpenMDW1.1).

GLM-5.1-1000000x

Provides 1,003,589 full chain-of-thought reasoning traces and final answers generated by GLM-5.1, split into main/Math/PHD-Science/Multilingual-STEM subsets. Useful for instruction-tuning, supervised fine-tuning, and reasoning experiments; released under Apache-2.0.

Türkçe Atlas — Instruct SFT

Provides 336,146 Turkish instruction-following chat examples (system→user→assistant) for supervised fine-tuning; single train split (no validation/test), reported MIT license, diverse tasks (rewrites, summarization, QA) and a uniform system prompt that may bias model behavior.

RSRCC

Provides paired before/after satellite images with question–answer annotations for semantic change understanding. Includes Yes/No and multiple-choice formats, delivered in Hugging Face datasets (streaming-friendly), suited for remote-sensing multimodal VQA and semantic change captioning research.

Usenet Corpus 1980–2013

Provides deduplicated, sanitized Usenet posts (1980–2013) for language-model pretraining and linguistic research. Includes a ~103.1B-token full corpus (408M posts) with freely downloadable sample files; full corpus access requires a license and PII redaction was applied.

SWE-ZERO 12M Trajectories

Provides ~12.29M execution‑free agentic coding trajectories (≈112B tokens) sampled from 122K GitHub PRs to mid‑train code and agent models. Uses bash-only actions (grep, git, sed, etc.) so it scales without Docker; trajectories are unverified and intended for mid-training rather than final SFT.

Open-SWE-Traces

Provides 207k+ LLM-generated agent trajectories of code edits and tool interactions for training and evaluating software-engineering agents. Collected via OpenHands and SWE-agent using Qwen3.5-122B and MiniMax-M2.5, multilingual across nine languages and released under CC BY 4.0.

GLM-5.1-Reasoning-1M-Cleaned

Provides a cleaned, SFT-ready collection of ~746k GLM-5.1 reasoning traces for instruction tuning and reasoning distillation. Normalizes varied chain-of-thought formats into a single conversations/input/output schema and preserves four focused subsets (main, PHD-Science, Multilingual‑STEM, Math).

SWE-Hero Trajectories (nvidia/SWE-Hero-openhands-trajectories)

Provides 34k execution-style agent trajectories (11,766 issues) for supervised fine-tuning of code-focused LLMs. Each instance includes multi-step interactions, tool-call records, and final unified diffs; generated with Qwen3-Coder and released under permissive licenses for commercial use.

AtomBlock-WebUI

About 9,700 synthetic full-page web screenshots with YOLO-format, pixel-aligned bounding boxes for 14 UI element classes, generated by LLM-augmented HTML and Playwright DOM extraction. Includes CC3M image injection to reduce visual gap; released for non-commercial research (CC BY-NC-SA 4.0).

Go-Code-Large

Provides 316,427 Go source-code samples in JSONL focused on concurrency and backend idioms, enabling fine-tuning and evaluation of code models for completion, summarization, and static-analysis tasks.

lordx64/reasoning-distill-opus-4-7-max-sft

Provides 7,823 single-turn reasoning conversations generated by Anthropic's Claude Opus 4.7 and reformatted into Qwen-style chat templates for supervised fine-tuning (SFT). Includes explicit <think> chain-of-thought blocks and many long reasoning chains (avg ~4k tokens).