datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dl3dv_InP_480dl-trm-phase2-codebook-v32
DL-TRM Phase 2 Codebook V32
This standalone dataset contains the Phase 2 discrete Z traces for V32.
The Hugging Face dataset viewer reads data/train.jsonl.
Each row contains:
raw_puzzle_id
route_id
route_local_id
medoid_old_id
selected_stage_a_example_index
cluster_size
vocab_size
z_trace: a length-16 list of discrete Z token IDs
The original PyTorch artifacts remain in the repo:
z_traces.pt
codebook.pt
transition_vq_model.pt
diagnostics.json
z_trace_manifest.json
checkpoints/
dl_alchemy_seq9p6m_context1024stackoverflow_DL-related_questionsdl-trm-phase2-codebook-v16
DL-TRM Phase 2 Codebook V16
This standalone dataset contains the Phase 2 discrete Z traces for V16.
The Hugging Face dataset viewer reads data/train.jsonl.
Each row contains:
raw_puzzle_id
route_id
route_local_id
medoid_old_id
selected_stage_a_example_index
cluster_size
vocab_size
z_trace: a length-16 list of discrete Z token IDs
The original PyTorch artifacts remain in the repo:
z_traces.pt
codebook.pt
transition_vq_model.pt
diagnostics.json
z_trace_manifest.json
checkpoints/
dl-trm-phase2-codebook-v256
DL-TRM Phase 2 Codebook V256
This standalone dataset contains the Phase 2 discrete Z traces for V256.
The Hugging Face dataset viewer reads data/train.jsonl.
Each row contains:
raw_puzzle_id
route_id
route_local_id
medoid_old_id
selected_stage_a_example_index
cluster_size
vocab_size
z_trace: a length-16 list of discrete Z token IDs
The original PyTorch artifacts remain in the repo:
z_traces.pt
codebook.pt
transition_vq_model.pt
diagnostics.json
z_trace_manifest.json
checkpoints/
3d-dlp-repro-genericshapes-rgb
GenericShapes-RGB — synthetic RGB-voxel tabletop scenes
Training/evaluation corpus built for an independent reproduction of ICML 2026 paper #10351,
3D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
(OpenReview vIotI25gJz, code
github.com/Eubooks3003/3d-dlp).
The paper's GenericShapes corpus (Appendix B.2) is described but not released, and the authors'
released generator scripts/generate_ply.py
writes colourless point clouds — the "RGB-coloured variant used… See the full description on the dataset page: https://huggingface.co/datasets/rvt832/3d-dlp-repro-genericshapes-rgb.dllm-qwen38-ar-baseline
AR baseline for the Qwen3.8-27B → block-diffusion conversion (GSM8K, pinned 500-problem subset)
日本語要約: Qwen/Qwen3.8-27B を Fast-dLLM v2 で
block-diffusion dLLM 化する計画の AR 参照スコアです。seed 固定の GSM8K 500 問・4-shot・
greedy で acc 0.968(484/500、skipped 0)。H100 1 枚で 42 分 ≈ $2.8。停止条件
(stop literal)として「block-diffusion 訓練 0.3B tokens の後、この subset で acc ≥ 0.918」
を要求し、届かなければ変換を続けません。訓練 run 自体はこの判断待ちで held です。
Why this exists — the stop literal
We are converting Qwen/Qwen3.8-27B into… See the full description on the dataset page: https://huggingface.co/datasets/com-junkawasaki/dllm-qwen38-ar-baseline.dl-trm-phase2-codebook-v128
DL-TRM Phase 2 Codebook V128
This standalone dataset contains the Phase 2 discrete Z traces for V128.
The Hugging Face dataset viewer reads data/train.jsonl.
Each row contains:
raw_puzzle_id
route_id
route_local_id
medoid_old_id
selected_stage_a_example_index
cluster_size
vocab_size
z_trace: a length-16 list of discrete Z token IDs
The original PyTorch artifacts remain in the repo:
z_traces.pt
codebook.pt
transition_vq_model.pt
diagnostics.json
z_trace_manifest.json
checkpoints/
dlgenai-nppe-logsdlgenai-nppe-datadl-trm-phase2-controller-kmeans-v128
DL-TRM Phase 2 Controller K-Means V128
Discrete Z traces produced by k-means over Phase 1 controller deltas.
Source trace artifact: phase1_real_medoid_route_trace_shards
Input signal: medoid_controller_delta_trace[1:]
Input shape before quantization: [11400, 16, 512]
Output Z trace shape: [11400, 16]
Vocabulary size: 128
Token id base: 0
Diagnostics
{
"used_codes": 128,
"dead_codes": 0,
"perplexity": 123.55767954902056,
"unique_traces": 9222… See the full description on the dataset page: https://huggingface.co/datasets/omrisap/dl-trm-phase2-controller-kmeans-v128.schema_test8fc6e67ede17f4c1eafb9f08c0cbb80c_data_202604071141224495InRanker-BEIRSelf-distill-logits-convnext-tiny
ConvNeXt-Tiny experiments — results and prediction archive
Access is configured. The full artifact migration is not complete. This initial publication contains the verified retained-checkpoint/prediction audit and the immutable report-source index, not the bulk checkpoints or full-logit arrays.
Published evidence
Contents
Verified before/after audit
Exact pretrained and epoch-5 random-KL checkpoint identities; 50,000 aligned prediction rows; 78.824% → 79.868%… See the full description on the dataset page: https://huggingface.co/datasets/dlsmarta/Self-distill-logits-convnext-tiny.DL3DV-GSschema_test4e61f576341bd34847c313b8e0eee092_data_202604140316515772droppable_data_202605290418267856_stagingtest_data_202608010526003995_stagingdroppable_data_202608020934038428_stagingstate_test_bcb112f04a02b7931593c04cf0cf73fciteration1a0638125a6b671fea5c292646a87dc2_202602240755305808incremental_test_202603060105541279dl-trm-phase2-controller-kmeans-v16
DL-TRM Phase 2 Controller K-Means V16
Discrete Z traces produced by k-means over Phase 1 controller deltas.
Source trace artifact: phase1_real_medoid_route_trace_shards
Input signal: medoid_controller_delta_trace[1:]
Input shape before quantization: [11400, 16, 512]
Output Z trace shape: [11400, 16]
Vocabulary size: 16
Token id base: 0
Diagnostics
{
"used_codes": 16,
"dead_codes": 0,
"perplexity": 15.491387192451063,
"unique_traces": 9176… See the full description on the dataset page: https://huggingface.co/datasets/omrisap/dl-trm-phase2-controller-kmeans-v16.dl-trm-phase2-controller-kmeans-v32
DL-TRM Phase 2 Controller K-Means V32
Discrete Z traces produced by k-means over Phase 1 controller deltas.
Source trace artifact: phase1_real_medoid_route_trace_shards
Input signal: medoid_controller_delta_trace[1:]
Input shape before quantization: [11400, 16, 512]
Output Z trace shape: [11400, 16]
Vocabulary size: 32
Token id base: 0
Diagnostics
{
"used_codes": 32,
"dead_codes": 0,
"perplexity": 31.17811290262774,
"unique_traces": 9191… See the full description on the dataset page: https://huggingface.co/datasets/omrisap/dl-trm-phase2-controller-kmeans-v32.droppable_data_202605290418245849_stagingstate_test_d6d27da5d6c16ce903012d8d1153a2eecompression_data_e39383acee6abb3a424319cdbeed62dcdla-julkaCultriX__Qwen2.5-14B-HyperMarck-dl-details
Dataset Card for Evaluation run of CultriX/Qwen2.5-14B-HyperMarck-dl
Dataset automatically created during the evaluation run of model CultriX/Qwen2.5-14B-HyperMarck-dl
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 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/CultriX__Qwen2.5-14B-HyperMarck-dl-details.
