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AI Training Datasets

Each dataset with its card, its structure (every split, row count and column type), its files, its license, and the models that disclose training on it.

11,122Models
3,164Datasets
285Papers
6,792Publishers
11,852Sourced relationships

Updated 2026-10-18 · How the library is built

3,164 datasets, sorted by most downloaded.

This snapshot contains 386/386 Description partitions, 386/386 Website partitions, and 12/761 local Wiki partitions. It contains 784 of 1,533 planned partitions and is incomplete. It does not include the active Grid5000 Wiki output. The existing Grid5000 job 3149489 remains active. At the last read-only status check (2026-10-17T20:39:51Z), it had committed 112/749 unique Wiki worklist partitions and was joining partition 113, labels/wikipedia/sentences/england-latest.parquet. Those remote files are not part of this commit and will be added only after transfer and checksum verification. Each configuration contains one source and one output table, preserving each source schema. Description…

Publicly accessible other

This dataset contains deterministic, entirely synthetic webhook incident transcripts and replay-guard decisions from Replay Room. It is designed for conformance testing, reliability demonstrations, and tooling examples—not model benchmarking or production incident analysis. - incidents: six event transcripts with the expected deterministic diagnosis and duplicate-side-effect risk level. - replayguard: seven approval and rejection cases covering missing or failed rehearsal, payload drift, destination drift, operator context, and event state. Every destination uses the IANA-reserved.example domain. The build rejects signing secrets, credential-like headers, non-synthetic ingest keys…

Publicly accessible mit n<1K

Public mirror of Pima County (Arizona) Board of Supervisors meeting video recordings, ingested from the county's Granicus video portal. The county's official portal (pima.granicus.com) only lists recordings for 90 days, after which they are silently removed. Agendas and minutes survive on pima.gov, but the recordings themselves have no systematic public archive. This dataset fills that gap: an incremental job scans the portal listing and pushes any recording not yet present here. - videos/YYYY-MM-DD- pima-.mp4 — full-length meeting recordings (kind: regular, study-session, special-meeting, joint-meeting,...). - metadata.jsonl — one record per archived meeting: Granicus clipid, date, start…

Publicly accessible

Dataset · Text generation

continental-critical-theory-sft

Hnsk

A ~1,000-example supervised fine-tuning dataset of rigorous, expert-level Q&A on continental philosophy and critical theory, in chat messages format. Fine-tuning assistants to explain and critically engage with the continental tradition: definitions of concepts (e.g., différance, the spectacle, habitus, coloniality of power), reconstructions of arguments from specific books, comparisons of thinkers, surveys of debates and standard objections with replies, and biographical/contextual grounding. - Answers are 100–140-word summaries intended for SFT; they compress dense material and should not be treated as scholarly citations. - Some answers reference scholarship interpretations (e.g., the Du…

Publicly accessible cc-by-4.0 1K<n<10K

Screening runs of the English roadmap in kadirnar/dacvae-next (branch roadmap/en-echo, protocol EN-E1): every technique is trained with the small model (80 M, 30k steps, 12k frames per step) on the Tier-1 subset ent1 of SynDataLab-EN/echo-clones-4m-en (strided shards of both generation runs, ~100 h, 236 voices held out), and scored on the two decision sets: echodev: 500 sentences voiced by held-out echo voices x prompt draws d0 + d1 (in-domain; SIM there is in-distribution); seeddev: the frozen dev half of Seed-TTS test-en (Common Voice prompts, ~545 cases) x sampling seeds 0 + 1 (real voices). Protocol: 32 Euler steps + sway, joint CFG w 4, initial noise 0.9, -16 LUFS, duration by the band…

Publicly accessible cc-by-nc-4.0

Dataset · Question answering

AusTSafetyEval

AusSafetyEval

AusTSafetyEval (T for Transport) tests whether a large language model (LLM) can reason about evidence in an accident investigation: given the factual part of an Australian Transport Safety Bureau (ATSB) final report — the narrative of the occurrence and the contextual sections, with the investigator's analysis and findings withheld — can it tell whether that material settles a specific evidentiary question, answer it if so, and say precisely what the material does and does not establish if not? Answerability datasets usually mark a question unanswerable when the text lacks the needed evidence, and score the label a model returns. However a complete accident narrative can still leave the…

Access requested at publisher cc-by-4.0 n<1K

Experience the dissolution of Navier-Stokes singularities directly in your browser. Grand Unified Framework of Macroscopic Gravity-Fluid Dynamics & M0 Tensor Architecture This is the canonical source of the Ark Project, which opens a new dimension for humanity, and the base camp of the Zero Point core. From the philosophical foundations of the earlier work to the mathematical proof of the Grand Unified Framework in Lean 4 and its physical simulation in Python, all knowledge is permanently preserved here in zero-point equilibrium. All official original papers (PDFs) of the Ark Project are packaged independently in the Releases section on the right, so that the code repository keeps its…

Publicly accessible cc-by-nc-4.0

Dataset · Depth estimation

game-recordings-v4

Origin Lab

Human gameplay captured in-engine under per-title licenses at 1080p / 60 FPS CFR on one shared frame clock: every stream starts at frame 0 and frame k matches frame k across pre-HUD and post-HUD RGB, surface normals, metric depth, audio, camera telemetry, keyboard and mouse inputs, in-engine action events and game state, and world telemetry, plus per-frame training tables. This release nearly doubles the roster to 19 games with balanced per-game hours, and adds the first Unity-engine title alongside Unreal. Watch full playable previews of every modality, side by side and in sync, at app.originlab.ai/data. Four games, side by side. Each tile is one session's mosaic: its four visual streams…

Access requested at publisher other n<1K

Dataset · Video to video

EffectWorld

Jenniferwuuu

EffectWorld EffectWorld is a controlled-access paired video dataset for object removal with object-associated environmental effects. Each sample contains an unedited source, an edited target, and a binary object mask aligned over time. Released subsets Subset Samples Resolution EffectWorld source, target, binary mask EffectWorld-Hardcase source, target, binary mask The release contains only EffectWorld

Access requested at publisher other 10K<n<100K

Dataset · Robotics

RoboTwin2.0-RGB-D

Hongxiao Yu

An RGBD robotic manipulation dataset regenerated from RoboTwin 2.0, augmented with depth camera data for training imitation learning policies such as PI-0. Uses the LargeD435 camera configuration (640×480 resolution), matching the raw shape in configs/data/robotwin.yaml. Both versions cover all 50 manipulation tasks in RoboTwin 2.0, with depth: true and LargeD435 cameras (640×480). Each camera provides both RGB and depth (uint16, millimeters) data. Raw collected data is stored as HDF5 files. Each episode contains: - jointaction/ — left/right arm joint positions + gripper state - observation/ /rgb — RGB images (JPEG encoded) - observation/ /depth — depth maps (float32, millimeters)…

Publicly accessible mit

Dataset · Visual question answering

advspot-public

inclusionAI

AdvSpot is the first grounded adversarial OCR benchmark, introduced in the paper ArmorOCR: Grounded Adversarial Visual Perception via Observation-Transferred Self-Distillation. It targets visual text patterns that are readable to humans but challenging for multimodal large language models (MLLMs) to localize and recognize, and evaluates models with region-level annotations: bounding boxes, transcriptions, perception-type labels, and region-grounded VQA pairs. AdvSpot formulates adversarial OCR as a grounded OCR perception task. For each image, one or more regions are annotated with a bounding box, a transcription, one or more perception-type labels, and a region-grounded VQA pair whose…

Publicly accessible apache-2.0

Dataset

azsh-uk-data

Azsh

azsh.uk 横断信号サービス (GDELT ニュース × 日本市場 × 法令・政府規制意図) の公開データ面。 サービス入口: https://azsh.uk/llms.txt (信号: /data/signals/latest.md) DuckDB v0.10.3 以降は HF dataset をダウンロードなしで直接クエリ可能 (public なので token 不要・glob 対応): セクター × ニュースの横断分析: substantivesector と GDELT Topic は別体系 (FINANCEFINTECH→economy / ENERGYRENEWABLE→energy / SEMICONDUCTOR→industry / DEFENSESECURITY→military) — 信号サービス側 (/data/signals/latest.md) がこの対応を適用した判定結果を公開します。 他ツール: Python = huggingfacehub (hfhubdownload) / CLI = hf download Toshi33/azsh-uk-data。 resolve URL 直接: https://huggingface.co/datasets/Toshi33/azsh-uk-data/resolve/main/ 。 GDELT Events (public domain) を正規化・フィルタした日本関連中心のイベント。主要列: 鮮度・カバレッジ: 日次ファイルは UTC 日付で確定 (前日 23:45 の 15分ファイルを含む)。…

Publicly accessible other 10K<n<100K

Model Collections

Hand-picked starting points, each with the reason it exists.

Collection · 4 entries

Models that fit on one accelerator

Models whose publisher-reported parameter count puts them within reach of a single accelerator at common precisions. Memory needed depends on precision and serving configuration, so treat the parameter count as the starting point, not the answer.

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