datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Qwen3.6-35B-A3B-mcr-stage-b
Qwen3.6-35B-A3B — MCR Stage B Corpus (Distributed Reasoning Localization)
First systematic mechanistic-intervention corpus on a hybrid MoE + GDN + Gated-Attention architecture.
📄 Paper: Loop-Intolerance Profiling: Localizing Distributed Reasoning in a Hybrid MoE Architecture via Nine Convergent Intervention Experiments — submitted to arXiv (2026-04-20, in moderation). Final arXiv ID will be added here once approved.
This dataset contains per-token residual-stream activations at… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/Qwen3.6-35B-A3B-mcr-stage-b.qwen36-35b-a3b-fp8-two-blackhole-tt-cache
Qwen3.6-35B-A3B-FP8 two-Blackhole TT cache
This dataset contains the generated same-source compressed owner-bank cache used by a public Qwen/Qwen3.6-35B-A3B-FP8 two-Blackhole runtime project.
Project repo:
https://github.com/PMZFX/TT-qwen36-35b-a3b-fp8-two-blackhole
The GitHub repo contains the runtime code, TT-Lang spike, reliability harnesses, release notes, and helper scripts. This dataset supplies the generated TT cache that is too large for the GitHub repo.
Contents… See the full description on the dataset page: https://huggingface.co/datasets/katostrofik/qwen36-35b-a3b-fp8-two-blackhole-tt-cache.qwen3.6-35b-a3b-distribution-fidelity-768x2048-v1
Qwen3.6-35B-A3B quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/ carries the… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/qwen3.6-35b-a3b-distribution-fidelity-768x2048-v1.ark-asr-3b-open-asr-leaderboard-results
ARK-ASR-3B Open ASR Leaderboard Results
Raw JSONL manifests for AutoArk-AI/ARK-ASR-3B on the public English
short-form hf-audio/open-asr-leaderboard splits.
These manifests were generated on a local 8x RTX 4090 machine and scored with
the shared Open ASR Leaderboard scorer:
PYTHONPATH=. python - <<'PY'
from normalizer.eval_utils import score_results
score_results(
'ark_asr/results.AutoArk-AI-ARK-ASR-3B_20260622_official',
'AutoArk-AI/ARK-ASR-3B',
)
PY
Important:… See the full description on the dataset page: https://huggingface.co/datasets/Edge0/ark-asr-3b-open-asr-leaderboard-results.Ultrachat-Sharegpt-Qwen3-Next-80B-A3B-Instructllama-3.2-3B-f1-instruct-eval-logs-and-scoresLlama-3.2-3B-Instruct-eval-logs-and-scoresProsperity-Family-Alya-CPT-3B-Kumru
Prosperity Family Alya CPT 3B — Kumru Tokenized
Status: finished - 2B remain - 1B
Developer: Prosperity AIModel/tokenizer: Efe2898/Prosperity-Family-Alya-BaseSource dataset: moganai/turkishfineweb2-cleaned
Tokenizer
Revision: df12a3c9e14c80d1464a8d7a2d624b2b021ab283Vocabulary: 50,176EOS token ID: 3
Filtering
language_score >= 0.98
fasttext_clean_score >= 0.75
document chars: 200 .. 500000
deterministic stream shuffle seed: 20260906
shuffle buffer:… See the full description on the dataset page: https://huggingface.co/datasets/Efe2898/Prosperity-Family-Alya-CPT-3B-Kumru.grug-3b-train
grug-3b-train
training data for ProCreations/grug-3b.
grug think in grug. grug answer in normal english. never other way round.
what make this one different
old grug model think short always. easy question, short think - good. hard
question, short think - BAD. answer come out worse because grug not do the work.
this set fix that. every fresh example carry difficulty tier, and tier decide
how many word the think get. validator throw away think too short for tier… See the full description on the dataset page: https://huggingface.co/datasets/ProCreations/grug-3b-train.details_bestdive__SmolLM3-3B-SFT-Free-Course
Smol course SFT evaluation - Kay Zheng
Actual full GSM8K test evaluation of bestdive/SmolLM3-3B-SFT-Free-Course, adapter revision 0484e028b494d605a267050a949c9266edadd16b, merged with pinned SmolLM3-3B-Base before evaluation.
Full 1319 test examples, zero-shot, original extractive_match: 0.4086429112964367 (stderr 0.013540639733342422).
Free Google Colab T4, no paid HF Jobs; cost 0.
lighteval 0.11.0, vLLM 0.10.1.1, Transformers 4.57.1, Python 3.12.
Dataset-address correction… See the full description on the dataset page: https://huggingface.co/datasets/bestdive/details_bestdive__SmolLM3-3B-SFT-Free-Course.forge-3b-dpo-data
FORGE-3B DPO Preference Data
Tokenized (prompt, chosen, rejected) preference triples for DPO post-training
of FORGE-3B, built per the FORGE paper Section 6.2 / Appendix A.2.
This is data preparation output only — no model was trained to produce this.
Stats
Total pairs: 0 (paper target: ~200,000)
Domains: 0/4
Context length: 4096 tokens (paper Appendix A.2, DPO block)
Format: unpacked — one (prompt, chosen, rejected) triple per training example
Chat template:… See the full description on the dataset page: https://huggingface.co/datasets/Phase-Technologies/forge-3b-dpo-data.ConvAI2-ERNIE-original-Qwen3.5-35B-A3B
Visual Memory Results: convai2-ernie-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-ERNIE-original-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-ERNIE-original-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-ERNIE-original-Qwen3.5-35B-A3B.ConvAI2-Qwen-original-Qwen3.5-35B-A3B
Visual Memory Results: convai2-qwen-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-Qwen-original-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-Qwen-original-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-Qwen-original-Qwen3.5-35B-A3B.ConvRevibethinker-3b-jlens-traces
VibeThinker-3B J Lens Traces
The J Lens is a Jacobian lens fitted to
WeiboAI/VibeThinker-3B.
Pick one of the 18 fitted source layers and a token position, and the lens
decodes that residual-stream activation into a ranked list of vocabulary
tokens. Following one position across layers shows how the decoded ranking
changes on the way to the model's final output.
This repository stores saved results from that lens. The companion
model repository
contains the lens weights. The… See the full description on the dataset page: https://huggingface.co/datasets/JacobMolBio/vibethinker-3b-jlens-traces.ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: convai2-qwen-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B.ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: convai2-flux-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B.Llama-3.2-3B-COTConvAI2-FLUX-original-Qwen3.5-35B-A3B
Visual Memory Results: convai2-flux-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-FLUX-original-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-FLUX-original-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-FLUX-original-Qwen3.5-35B-A3B.ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: convai2-ernie-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B.CodePin-SFT-Qwen3.5-35B-A3B
CodePin SFT — Qwen3.5-35B-A3B Teacher Trajectories
CodePin SFT contains 6,000 validated code-localization trajectories generated
with qwen3.5-35b-a3b. It is designed for pure-text supervised fine-tuning of
Qwen/Qwen3.5-0.8B and other tool-calling language models.
The tasks come from
LeeXugar/SWE-smith-code-search.
The source rollout dataset was used only for cleaning, difficulty estimation,
and sample selection; rollout messages and rewards were not copied into these
SFT… See the full description on the dataset page: https://huggingface.co/datasets/LeeXugar/CodePin-SFT-Qwen3.5-35B-A3B.Qwen2.5-3B-jsonlllama3.2-3B-sftbigcode__starcoder2-3b-details
Dataset Card for Evaluation run of bigcode/starcoder2-3b
Dataset automatically created during the evaluation run of model bigcode/starcoder2-3b
The dataset is composed of 44 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/bigcode__starcoder2-3b-details.NousResearch__Hermes-3-Llama-3.2-3B-details
Dataset Card for Evaluation run of NousResearch/Hermes-3-Llama-3.2-3B
Dataset automatically created during the evaluation run of model NousResearch/Hermes-3-Llama-3.2-3B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/NousResearch__Hermes-3-Llama-3.2-3B-details.PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: personachat-flux-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B.PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: personachat-ernie-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B.PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: personachat-qwen-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B.Math_Qwen3-30B-A3B-Instruct-2507_SFT-RL_Prefixpolaris_rose_rollouts_olmo3-7b_from_qwen3-30b-a3b_cutoff4096_240steps
Cross-tokenizer ROSE rollouts — Olmo-3-7B-Think-SFT ← Qwen3-30B-A3B-Thinking-2507
Every assembled row of a complete 240-step online-ROSE run: 61,440 rows, the teacher's
actual continuation for each, and the token accounting behind it.
The student writes a 4096-token prefix in its own vocabulary (100278). That prefix is
decoded to text, the teacher is shown it under its own chat template, and the teacher's
reply comes back as text and is tokenised into the student's vocabulary.… See the full description on the dataset page: https://huggingface.co/datasets/SeanWang0027/polaris_rose_rollouts_olmo3-7b_from_qwen3-30b-a3b_cutoff4096_240steps.