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-sidecarsmmstar-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.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.segment-sidecar-v1