datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
midashenglm-gen-training-latents
ModelsLab/midashenglm-gen-training-latents
Precomputed audio latents for fine-tuning
mispeech/midashenglm-gen,
paired with six-view prompts in the exact format the model was trained on.
This is not an audio dataset and not a caption dataset. Each record is the
output of the model's frozen DashengTokenizer encoder — 768-dimensional latents
at 25 Hz, stored float16 — next to the tagged prompt string built from the
source metadata.
Why it exists
The encoder is frozen… See the full description on the dataset page: https://huggingface.co/datasets/ModelsLab/midashenglm-gen-training-latents.latent-3d-cachemindcube-latent-data
MindCube reasoning traces (text)
Self-distilled map-then-reason chain-of-thought traces for the
MindCube spatial-VLM benchmark. This repo ships plain text
only — the raw reasoning traces. It contains no pre-compressed / tokenized targets, so it is
useful as-is for any reasoning-distillation setup.
Contents
file
rows
what
native_maptrace_full.jsonl
7,474
Frozen Qwen2.5-VL-3B-Instruct, run greedily on MindCube spatial questions (the aug_cgmap_ffr_out… See the full description on the dataset page: https://huggingface.co/datasets/leapeto/mindcube-latent-data.kubric_pairs_latentLatentSkill
LatentSkill Data
This dataset repository contains the data released for LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents.
Code: https://github.com/yuaofan0-oss/LatentSkillPaper: https://arxiv.org/abs/2606.06087Checkpoint repository: https://huggingface.co/AofaYu71/LatentSkill
Contents
skill_pretrain/
train.jsonl
val.jsonl
skill_ift/
train.json
search_test/
2wikimultihopqa_test.jsonl
bamboogle_test.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/AofaYu71/LatentSkill.seedance_general_all_dance_scm_latent_lmdb
Seedance General-All + Dance SCM Latent LMDB
This dataset stores precomputed SCM latents used for TurboT2AV training.
Source mapping: seedance_general_all_dance_mapping.csv
Successful latent samples: 44,305
Shards: 8 LMDB shards under scm_latent_lmdb/shard_00000 ... shard_00007
Video latent shape per sample: (1, 16, 128, 16, 24)
Audio latent shape per sample: (1, 127, 128)
The source mapping combines Seedance general-all data with a dance subset. The mapping contains 44,504… See the full description on the dataset page: https://huggingface.co/datasets/luyu1021/seedance_general_all_dance_scm_latent_lmdb.repro-causal-jepa-learning-world-models-through-object-level-latent-masking-traces
Agent traces
Agent sessions published from a Trackio Logbook.
latent-data
Latent-SFT open-domain data
This repository is the portable data bundle for LiAi16/latent-sft. It keeps
the raw snapshots, the first-generation OSS-COT archive, the second-generation
GLM-COT data used for formal training, a deterministic SFT mixture, complete
raw evaluation benchmarks, normalized evaluation trajectories, and the partial
Qwen3-4B SuperGPQA baseline used for exact resumption.
Canonical Hub repository: liaialley/latent-data (the supplied token belongs
to the… See the full description on the dataset page: https://huggingface.co/datasets/liaialley/latent-data.repro-latent-collaboration-in-multi-agent-systems-traces
Agent traces
Agent sessions published from a Trackio Logbook.
latent-action-can-mh-image-v15
joon-stack/latent-action-can-mh-image-v15
Raw HDF5 artifact mirror for latent_action training.
This repository is not a native load_dataset(...) dataset.
It stores robomimic-style HDF5 files for download and local path overrides.
Contents
Files: 1
Total bytes: 12452033552
Usage
Download the needed HDF5 file locally and pass it to Hydra:
python run.py data.paths=[/absolute/path/to/can/ph/image_v15.hdf5]
Files
can/mh/image_v15.hdf5… See the full description on the dataset page: https://huggingface.co/datasets/quiet-storm/latent-action-can-mh-image-v15.latent-action-can-ph-image-v15
joon-stack/latent-action-can-ph-image-v15
Raw HDF5 artifact mirror for latent_action training.
This repository is not a native load_dataset(...) dataset.
It stores robomimic-style HDF5 files for download and local path overrides.
Contents
Files: 1
Total bytes: 4610179960
Usage
Download the needed HDF5 file locally and pass it to Hydra:
python run.py data.paths=[/absolute/path/to/can/ph/image_v15.hdf5]
Files
can/ph/image_v15.hdf5… See the full description on the dataset page: https://huggingface.co/datasets/quiet-storm/latent-action-can-ph-image-v15.