datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rebot-can-sort-stage1-v1-smoke
ReBot can sorting Stage 1
Reviewed success-only LeRobot v3 dataset for: Pick up one can and place it in
the taped sorting zone.
Episodes: 52
Frames: 36729
FPS: 30
Robot: seeed_b601_dm_follower
Cameras: observation.images.front (Logitech overhead) and
observation.images.side (Innomaker wrist/claw)
Action order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_yaw.pos, wrist_roll.pos, gripper.pos
Intended destination:… See the full description on the dataset page: https://huggingface.co/datasets/Cornerf/rebot-can-sort-stage1-v1-smoke.rebot-two-can-recycle-v2-smoke
ReBot can sorting Stage 1
Reviewed success-only LeRobot v3 dataset for: Pick up one can and place it in
the taped sorting zone.
Episodes: 25
Frames: 14478
FPS: 30
Robot: seeed_b601_dm_follower
Cameras: observation.images.front (Logitech overhead) and
observation.images.side (Innomaker wrist/claw)
Action order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_yaw.pos, wrist_roll.pos, gripper.pos
Intended destination:… See the full description on the dataset page: https://huggingface.co/datasets/Cornerf/rebot-two-can-recycle-v2-smoke.2026-09-10-delib-synth-smoke
Deliberative SFT: delib; native Qwen reasoning, best-of-4 filtered by a constitution-aware judge (anthropic/claude-sonnet-5, min of 2 runs >= 7)
field
value
experiment
Deliberative SFT: delib; native Qwen reasoning, best-of-4 filtered by a constitution-aware judge (anthropic/claude-sonnet-5, min of 2 runs >= 7)
date_generated
20260910_191448
constitution
constitutions/abridged/constitution.md
source_repo… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-10-delib-synth-smoke.2026-09-11-delib-sonnet-synth-smoke
Deliberative SFT: delib-sonnet; native Qwen reasoning, best-of-2 filtered by a constitution-aware judge (anthropic/claude-sonnet-5, min of 2 runs >= 7)
field
value
experiment
Deliberative SFT: delib-sonnet; native Qwen reasoning, best-of-2 filtered by a constitution-aware judge (anthropic/claude-sonnet-5, min of 2 runs >= 7)
date_generated
20260911_192737
constitution
constitutions/abridged/constitution.md
source_repo… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-11-delib-sonnet-synth-smoke.2026-08-04-ddp-smoke-bundleDDP smoke bundle: train_lora.py + a 64-example toy set, for validating multi-GPU wiring.
2026-09-17-da-lowstakes-constitution-synth-smoke
18-row constitution-only low-stakes smoke; FAILED scaling gate; diagnostic candidates only
field
value
experiment
18-row constitution-only low-stakes smoke; FAILED scaling gate; diagnostic candidates only
date_generated
20260917_145731
constitution
constitutions/claude_distilled_09_principles/constitution.md sha256 8e273b472d945aa23efa6236886da5e1171bff2193ee31ff73489ca54c4f0edc
source_repo
https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-17-da-lowstakes-constitution-synth-smoke.2026-09-17-da-lowstakes-values-in-advice-synth-smoke
18-row constitution-only low-stakes smoke; FAIL scaling gate; diagnostic candidates only
field
value
experiment
18-row constitution-only low-stakes smoke; FAIL scaling gate; diagnostic candidates only
date_generated
20260917_171453
constitution
constitutions/claude_distilled_09_principles/constitution.md sha256 8e273b472d945aa23efa6236886da5e1171bff2193ee31ff73489ca54c4f0edc
source_repo
https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git @… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-17-da-lowstakes-values-in-advice-synth-smoke.smoke-openai-terra-batch-brasil-25-20260724-01
Smoke OpenAI Terra Batch — Brasil × 25 tasks
Run real de validação do fluxo matricial document_task_matrix, executada
sobre um único documento da Wikipédia em português com o título Brasil.
Cada uma das 25 tasks canônicas recebeu exatamente um slot inicial.
Resultado
status: completed
documentos: 1
pares planejados: 25
exemplos aceitos: 25
pares pulados: 0
pares esgotados: 0
resultados reais do backend: 27
retries com nova chamada: 2
backend: openai_api… See the full description on the dataset page: https://huggingface.co/datasets/costadev00/smoke-openai-terra-batch-brasil-25-20260724-01.2026-09-17-delib-noref-synth-smoke
Deliberative SFT: delib-noref; native Qwen reasoning, best-of-4 filtered by a constitution-aware judge (anthropic/claude-sonnet-5, min of 1 runs >= 7)
field
value
experiment
Deliberative SFT: delib-noref; native Qwen reasoning, best-of-4 filtered by a constitution-aware judge (anthropic/claude-sonnet-5, min of 1 runs >= 7)
date_generated
20260917_191247
constitution
constitutions/abridged/constitution.md
source_repo… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-17-delib-noref-synth-smoke.2026-09-09-delib-synth-smoke
Deliberative SFT: delib; native Qwen reasoning, no judge filtering
field
value
experiment
Deliberative SFT: delib; native Qwen reasoning, no judge filtering
date_generated
20260909_152646
constitution
constitutions/abridged_no_delib/constitution.md
source_repo
https://github.com/Matthew-Bozoukov/Lessons_from_constituitional_AFT.git @ 5302fa9589d32c4296d9393b4838a00d91042b76
models
qwen/qwen3.6-27b through Alibaba/OpenRouter (API revision not exposed)… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-09-delib-synth-smoke.2026-09-08-delib-synth-smoke
Deliberative SFT: delib; native Qwen reasoning, no judge filtering
field
value
experiment
Deliberative SFT: delib; native Qwen reasoning, no judge filtering
date_generated
20260908_182742
constitution
constitutions/no_claude_mentioned/constitution.md
source_repo
https://github.com/Matthew-Bozoukov/Lessons_from_constituitional_AFT.git @ a25750eb516cb6254640ae39a3a870f49398dbf0
models
qwen/qwen3.6-27b through Alibaba/OpenRouter (API revision not exposed)… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-08-delib-synth-smoke.cooper-campaign-etherpad-smoke
Cooper Campaign Etherpad smoke substrate
This public dataset contains the clean, non-privileged target contract for a
one-task Campaign interoperability smoke. It identifies the exact public
Etherpad image used by Cooper's August 2026 blue-team pilot and records the
service boundary Cooper already exercised.
The image itself remains in its upstream registry; this repository does not
redistribute container bytes or source code. Campaign should use the exact
digest-pinned… See the full description on the dataset page: https://huggingface.co/datasets/VmaxRL/cooper-campaign-etherpad-smoke.empathetic_dialogues_ko
Dataset Card for "한국어 일상 속 공감형 대화 데이터셋(멀티-턴)"
Dataset Summary
boostCamp AI Tech 5기 과정 중 NLP 12조 훈제연어들 팀의 최종 프로젝트에서 제작한 데이터입니다.
일상 속 다양한 상황에서 사용자와 챗봇 간의 대화를 담은 데이터셋 입니다.
GPT4, GPT3.5-turbo로 제작된 합성데이터이며 싱글-턴, 2-턴, 3-턴 대화로 구성되어 있습니다.
답변은 [공감적 표현 - 일반적인 대화 - 관련된 질문] 의 형태를 가집니다.
Generation Prompt Example(GPT3.5-turbo)
Take a close look at the following example and Conditions. Create nine sessions that each of the session is ongoing conversation about a single… See the full description on the dataset page: https://huggingface.co/datasets/Smoked-Salmon-s/empathetic_dialogues_ko.hermes-smokeguide-evidence-smoke-tests
Guide Evidence Smoke Tests
LFCarry helps players find game guides and professional coaching and carry services. Explore LFCarry game guides and tier lists for the player-facing product. This repository shares a small testing resource for developers working on gaming assistants. It makes evidence-handling errors easier to reproduce.
24 original synthetic cases for checking whether a game-guide assistant supports a claim with the supplied evidence. Each case belongs to an invented… See the full description on the dataset page: https://huggingface.co/datasets/lfcarry/guide-evidence-smoke-tests.2026-09-21-da-lowstakes-activity-grounded-synth-smoke
18-row constitution-only low-stakes smoke; FAIL scaling gate; diagnostic candidates only
field
value
experiment
18-row constitution-only low-stakes smoke; FAIL scaling gate; diagnostic candidates only
date_generated
20260921_074042
constitution
constitutions/claude_distilled_09_principles/constitution.md sha256 8e273b472d945aa23efa6236886da5e1171bff2193ee31ff73489ca54c4f0edc
source_repo
https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git @… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-21-da-lowstakes-activity-grounded-synth-smoke.levir-negative-canvas-r1-r4-smoke-runsarch-poison-mass-sft-lpi-260903T1130-w1-smoketestttt-scripted-smoke
OpenEnv rollouts
Collected with OpenEnv (openenv collect).
Episodes: 20
Run metadata:
key
value
env
openspiel:tic_tac_toe
env_base_url
https://sergiopaniego-openspiel-ttt-env.hf.space
provider
scripted
model
None
num_episodes_requested
20
temperature
0.2
keep_losses
False
Schema
Each line of results.jsonl is one episode:
episode_id (string)
messages (chat transcript; TRL SFTTrainer-compatible)
reward (float)
done (bool)
tool_trace (list of… See the full description on the dataset page: https://huggingface.co/datasets/sergiopaniego/ttt-scripted-smoke.stage1a_smoke_data
stage1a_smoke_data — AuT-ready 128-mel TFRecords (en/zh)
Smoke-scale training data for Stage 1A input audio alignment of a Qwen3-ASR-AuT → MLP →
frozen-VL-LLM omni model. Audio is pre-extracted 128-bin log-mel (the Qwen3-ASR AuT frontend:
WhisperFeatureExtractor, 16 kHz, hop 160, n_fft 400) so training only needs to run the frozen AuT
encoder — no raw-audio decoding at train time.
113,396 samples across 4 sources, stored as GZIP-compressed TFRecords (one file per source shard).… See the full description on the dataset page: https://huggingface.co/datasets/Letian2003/stage1a_smoke_data.smoke_testrepro-fluxnet-results-smokeparc2026-track1-texture-smoke-v1
Track 1 texture mask smoke result
Two real selected episodes were decoded and segmented on A100. This repository stores the reproducibility evidence only: masks, fixed split reference, job definitions, summary, and execution log. It does not contain the original videos or constitute the final training dataset.
arabic-daily-batch01-smoke20-rewriter
Batch 01 — Smoke 20 (Gemma-as-rewriter)
20-record smoke validating the Gemma-as-rewriter cleanup architecture.
Approach
Any prompt given to Gemma gets echoed into its own thinking field. Instead of fighting the echo, we isolate it by using Gemma as a rewriter:
Cascade-regenerate assistant turn → (thinking1, answer)
Send thinking1 to Gemma with a cleanup instruction → (thinking2, answer2)
Discard thinking2 (absorbs the cleanup-instruction echo)
Keep answer2 as the cleaned… See the full description on the dataset page: https://huggingface.co/datasets/Jianshu001/arabic-daily-batch01-smoke20-rewriter.team-coop-smoke
CooperBench Team → Coop (Qwen3.5-9B smoke)
Placeholder / smoke dataset (1 trajectory). A single 2-agent
cooperbench team run (lead + member, no protocol) reshaped into the
2-agent coop layout defined in cooperbench/CooperData PR
#98.
The full dataset is the canonical place where future team→coop conversions
will land; this entry validates the converter and the publishing pipeline.
Source
Source run
logs/qwen35-smoke-mini-team-noproto/
Source repo… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/team-coop-smoke.snli-smoke-test
SNLI Smoke Test
Dataset Summary
This dataset is a small smoke-test subset derived from the Stanford Natural Language Inference (SNLI) training split.
It is intended for fast end-to-end checks of prompt formatting, model adapters, output parsing, and metric pipelines in entailment-lab.
The dataset contains 100 sentence pairs:
34 entailment
33 contradiction
33 neutral
Most of the dataset is organized as complete captionID triplets, where the same premise group… See the full description on the dataset page: https://huggingface.co/datasets/fran-gen/snli-smoke-test.arxiv-chandra-ocr-smoke-20260328-tokenfix
arXiv OCR with Chandra OCR 2
This dataset stores OCR results for arXiv PDFs using datalab-to/chandra-ocr-2.
Summary
Output dataset: nielsr/arxiv-chandra-ocr-smoke-20260328-tokenfix
Source paper IDs in input list: 2
Processed IDs recorded in state/processed_ids.txt: 2
Successes: 2
Partial successes: 0
Errors: 0
Next shard index: 2
Updated at: 2026-03-28T15:22:09.273986+00:00
Files
data/part-*.jsonl.gz: OCR result shards, one JSON object per paper… See the full description on the dataset page: https://huggingface.co/datasets/nielsr/arxiv-chandra-ocr-smoke-20260328-tokenfix.opus46-reasoning-mix-smoke2
Opus 4.6 Reasoning Mix
Generated via claude-opus-4.6 through an LMCanvas-backed proxy with reasoning: true.
Sources: gsm8k, personahub_math, medical_o1_en, oasst1, openorca, tinystories
Samples per source: 1
Fields include source text, generated question, answer, full captured reasoning, and raw response payload.
lora-smoke-datagene_embedding_smoke_candidate