datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ovos-wake-word-bench-picovoice-smart-mirror
OVOS wake_word bench — picovoice-smart-mirror
Per-clip detection decisions predictions of the registered
OVOS Plugin Arena
wake_word fighters over
Picovoice/wake-word-benchmark.
One dedicated repo per modality; one dataset split per language; one JSONL
file per fighter under predictions/<lang>/<competitor_id>.jsonl. Rows follow
the arena §3.2 contract (pinned dataset_revision, plugin_version,
latency_ms). Produced by the reproducible benchmark script in the arena repo;
the… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-wake-word-bench-picovoice-smart-mirror.backln-guest-post-quality-public-mirror
Backln Guest Post Quality Public Mirror
Public-safe mirror for validating Hugging Face Dataset Viewer indexing and release gates. This dataset is not the private training corpus.
Full text, titles, and snippets are removed by default. The mirror keeps labels, coarse metadata, feature buckets, and hash prefixes so the public Hub can verify schema and distribution without exposing customer content.
Schema
label: one of published, manual_review, rejected.
source: coarse… See the full description on the dataset page: https://huggingface.co/datasets/driodnexus/backln-guest-post-quality-public-mirror.MirrorAPI-Training
MirrorAPI training dataset
This dataset contains the training data for MirrorAPI and MirrorAPI-Cache:
train_sft.json, train_cot.json, train_augment.json: The training data for MirrorAPI .
train_cache.json: The training data for MirrorAPI-Cache.
beacon3d-grounding-mirror
Beacon3D Grounding Mirror
Community mirror generated from the public beacon-3d/Beacon3D GitHub repository.
Contents:
train.json: merged grounding annotations across scannet, 3rscan, and multiscan
The official Beacon3D grounding task evaluates object-id prediction and chain/object accuracy. This mirror does not redistribute raw ScanNet / 3RScan / MultiScan scene assets.
mirror-Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
Dataset Description:
We created an RL dataset for conversational tool-use by utilizing existing expert tool-use trajectories. We pose each assistant step of the trajectory as a separate behavior cloning problem where the policy model is incentivized to match the tool call choices of the expert model. Each trajectory includes the use of tools for authentication, data lookup, servicing (i.e. booking reservations, changing them, getting discounts, etc), and more across 838… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1.