datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
soc139-quality-sidecars
soc139-quality-sidecars
Mirror of the R2 prefix soc139-quality-sidecars/ from soc127-dedup (Cloudflare R2) into a private
HF Dataset. Generated by scripts/handoff/mirror_r2_sidecar_prefix.py on
2026-05-23.
Each row in the source R2 parquets is preserved, with one additional column appended:
source_shard_path — the R2 object key the row came from. This lets you reconstruct
the per-shard view if needed.
Counts
Source (R2)
Mirror (this dataset)
Files
58… See the full description on the dataset page: https://huggingface.co/datasets/HCAI-Lab-GT/soc139-quality-sidecars.itw-tactile-sidecarsur5_lab_test_tube_camera_shifts_depth_raw_sidecar
UR5 Lab Test Tube — raw uint16 depth sidecar
Companion sidecar to arturaah/ur5_lab_test_tube_camera_shifts.
This repo contains raw RealSense D435i uint16 (millimetre) depth for every
frame of every episode, in a layout that aligns 1:1 with the partner
LeRobot v2.1 dataset's (episode_index, frame_index) indexing.
Why this exists
The observation.images.*_depth features in the partner dataset are lossy:
they were normalized from raw Z16 to uint8 (clipped to 0–5 m)… See the full description on the dataset page: https://huggingface.co/datasets/arturaah/ur5_lab_test_tube_camera_shifts_depth_raw_sidecar.ur5_place_and_pour_nuts_camera_shifts_depth_raw_sidecar
UR5 Place-and-Pour Nuts — raw uint16 depth sidecar
Companion sidecar to arturaah/ur5_place_and_pour_nuts_camera_shifts.
This repo contains raw RealSense D435i uint16 (millimetre) depth for every
frame of every episode, in a layout that aligns 1:1 with the partner
LeRobot v2.1 dataset's (episode_index, frame_index) indexing.
Why this exists
The observation.images.*_depth features in the partner dataset are lossy:
they were normalized from raw Z16 to uint8 (clipped to… See the full description on the dataset page: https://huggingface.co/datasets/arturaah/ur5_place_and_pour_nuts_camera_shifts_depth_raw_sidecar.mmstar-qwen-sidecar-eval
MMStar Qwen Sidecar Eval
Local packaging of Lin-Chen/MMStar used for Qwen3-VL sidecar reproduction.
Standard splits:
validation.jsonl: full 1,500-sample split.
test.jsonl: first 1,000 samples used by the sidecar MMStar 55-point reproduction.
Compatibility files:
mmstar_val.jsonl: same content as validation.jsonl.
mmstar_eval_1k.jsonl: same content as test.jsonl.
images/: image files referenced by the JSONL image field.
The JSONL image paths are relative to the repository… See the full description on the dataset page: https://huggingface.co/datasets/huaXiaKyrie/mmstar-qwen-sidecar-eval.Mistral-7B-v0.3-fraqtl-sidecars
fraQtl D1 — Mistral-7B-v0.3 KV-cache compression sidecars
This dataset hosts the precomputed V and K eigenbasis sidecars used by the
fraQtl D1 reproduction bundle for Mistral-7B-Instruct-v0.3 at 128K context.
What's here
File
Size
sha256
sidecar_real_u_mistral-7b-instruct-v0.3.bin
8.4 MB
82186441d1810bba28c084a085b895ddd3530e4564e50c0b0c68e37fe69ce58e
mistral-7b-instruct-v0.3-k.fraqtl-k-eigenbasis.bin
8.4 MB… See the full description on the dataset page: https://huggingface.co/datasets/fraQtl/Mistral-7B-v0.3-fraqtl-sidecars.opentq-qwen36-bf16-sidecar
Qwen3.6-27B BF16 Sidecar Runs
This dataset publishes BF16 sidecar outputs used to compare OpenTQ GGUF artifacts against the base model Qwen/Qwen3.6-27B on pinned practical mini-subsets.
The Dataset Viewer uses flattened Parquet tables so columns have stable types. The original raw JSON files remain in runs/<job_id>/ for reproducibility.
Tables
Config
Grain
Purpose
results
one row per benchmark sample
prompts, task IDs, deterministic BF16 outputs, score fields… See the full description on the dataset page: https://huggingface.co/datasets/zlaabsi/opentq-qwen36-bf16-sidecar.levir-yolov8n-p2-sidecarcollsplit-v15-sidecargripper-traj2d-placegoal-sidecar-pad32latent-tools-sidecarsegment-sidecar-v1continuousembed_sidecars