datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
buy_sell_intentIntentQAMovens-Intent OmniHM-Intent
An omni-modal benchmark for evaluating intent-to-humanoid motion generation
Evaluation-only split. OmniHM-Intent contains fixed benchmark samples selected from the OmniHM training-data pool. It is intended to evaluate models that were not trained on these exact samples. Any overlap with a model's training data must be disclosed.
Overview
OmniHM-Intent evaluates whether a humanoid motion model can follow intent expressed through four input… See the full description on the dataset page: https://huggingface.co/datasets/wendell0218/Movens-Intent.online-shoppers-intentionovos-intent-bench-intents-for-eval
OVOS intent bench — intents-for-eval
Per-sample predictions of the open intent league (mixed-paradigm pipeline fusions) fighters of the
OVOS Plugin Arena over
OpenVoiceOS/intents-for-eval.
One dedicated repo per benchmark 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, fired pipeline stage, exact_match with correct-OOD
semantics).… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-intents-for-eval.ovos-intent-keyword-bench-intents-for-eval
OVOS intent_keyword bench — intents-for-eval
Per-sample predictions of the keyword-paradigm intent league fighters of the
OVOS Plugin Arena over
OpenVoiceOS/intents-for-eval.
One dedicated repo per benchmark 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, fired pipeline stage, exact_match with correct-OOD
semantics). Produced by the… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-keyword-bench-intents-for-eval.aims-safety-intents
AIMS: Annotated Intents for Model Safety
AIMS is a human-annotated dataset of user intents for LLM safety classification. Each example pairs a difficult safety prompt with a concise, human-written description of the user's underlying intent and a human-assigned harm label. The dataset is built to study a single question: can safety classifiers be improved by modeling why a user is asking something, rather than relying on surface-level text cues?
It contains 1,724 annotated… See the full description on the dataset page: https://huggingface.co/datasets/Jazhyc/aims-safety-intents.TMF921-intent-to-config-25k
TMF921-Grounded Intent-to-Network-Configuration Dataset (25K)
The most comprehensive open dataset for training LLMs to translate natural language network intents into spec-compliant 5G/6G configurations.
25,000 samples (22,500 train / 2,500 test) of natural language intents paired with structured network configurations across 6 target specification layers and 8 lifecycle operations, all grounded in real telecom standards.
What Makes This Dataset Unique… See the full description on the dataset page: https://huggingface.co/datasets/nraptisss/TMF921-intent-to-config-25k.ovos-intent-bench-speech-massive-nl-NL
ovos-intent-bench-speech-massive-nl-NL
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-nl-NL dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-nl-NL.ovos-intent-bench-speech-massive-pt-PT
ovos-intent-bench-speech-massive-pt-PT
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-pt-PT dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-pt-PT.ovos-intent-bench-speech-massive-ru-RU
ovos-intent-bench-speech-massive-ru-RU
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-ru-RU dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-ru-RU.spanish-suicide-intent
Dataset Summary
The dataset consists of comments from several sources translated to Spanish language and classified as suicidal ideation/behavior and non-suicidal.
Dataset Structure
The dataset has 175010 rows (77223 considered as Suicidal Ideation/Behavior and 97787 considered Not Suicidal).
Dataset fields
Text: User comment.
Label: 1 if suicidal ideation/behavior; 0 if not suicidal comment.
Dataset: Source of the comment
Dataset Creation
112385… See the full description on the dataset page: https://huggingface.co/datasets/PrevenIA/spanish-suicide-intent.ovos-intent-bench-speech-massive-pl-PL
ovos-intent-bench-speech-massive-pl-PL
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-pl-PL dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-pl-PL.ovos-intent-bench-speech-massive-ar-SA
ovos-intent-bench-speech-massive-ar-SA
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-ar-SA dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-ar-SA.ovos-intent-bench-speech-massive-de-DE
ovos-intent-bench-speech-massive-de-DE
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-de-DE dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-de-DE.ovos-intent-bench-speech-massive-fr-FR
ovos-intent-bench-speech-massive-fr-FR
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-fr-FR dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-fr-FR.ovos-intent-bench-speech-massive-hu-HU
ovos-intent-bench-speech-massive-hu-HU
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-hu-HU dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-hu-HU.ovos-intent-bench-speech-massive-vi-VN
ovos-intent-bench-speech-massive-vi-VN
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-vi-VN dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-vi-VN.TMF921-intent-to-config-research-sota
TMF921 Intent-to-Config Research SOTA Splits
This dataset is a research-oriented derivative of nraptisss/TMF921-intent-to-config-augmented. It provides reproducible training and OOD evaluation splits for supervised fine-tuning models that translate natural-language telecom/network-slicing intents into structured JSON configuration objects.
This dataset is intended for research. It is not a production-certified telecom configuration generator and should not be used to deploy network… See the full description on the dataset page: https://huggingface.co/datasets/nraptisss/TMF921-intent-to-config-research-sota.ovos-intent-bench-speech-massive-es-ES
ovos-intent-bench-speech-massive-es-ES
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-es-ES dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-es-ES.ovos-intent-bench-speech-massive-ko-KR
ovos-intent-bench-speech-massive-ko-KR
An OVOS Plugin Arena benchmark repository. The arena's prediction runner
publishes each plugin's raw output on the speech-massive-ko-KR dataset here, one JSON-lines
file per plugin under predictions/<lang>/, and where a sample-set manifest
governs scoring it lives under sample_sets/. The public leaderboard at
https://openvoiceos.github.io/ovos-plugin-arena/ is computed from these rows,
and anyone can recompute an entry from them without… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-intent-bench-speech-massive-ko-KR.telecom-intent-config-sft-10k
Telecom Intent→Config SFT Dataset (10K)
The first open SFT dataset for training LLMs to translate natural language network intents into structured 5G/6G configurations.
This dataset addresses the #1 gap identified in the telecom LLM research landscape: there is no public training dataset for intent-to-policy translation. All existing telecom datasets (TeleQnA, ORANBench-13K, 6G-Bench) are MCQ evaluation benchmarks — not instruction-following format. This dataset fills that gap.… See the full description on the dataset page: https://huggingface.co/datasets/nraptisss/telecom-intent-config-sft-10k.mteb-mtop_intent-avs_triplets
MTEB MTOP Intent Triplets Dataset
This dataset was used in the paper GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning. Refer to https://arxiv.org/abs/2402.16829 for details.
The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed/blob/main/scripts/create_classification_dataset.py.
Citation
@article{solatorio2024gistembed,
title={GISTEmbed: Guided In-sample Selection of Training Negatives… See the full description on the dataset page: https://huggingface.co/datasets/avsolatorio/mteb-mtop_intent-avs_triplets.product-tagging-saved-intent
Product Tagging and Saved Intent in Online Retail
How online stores structure product tags and implement saved-item features, and
how that compares with a platform where tagging is crowd-sourced against a
shared controlled vocabulary.
Canonical release: https://doi.org/10.5281/zenodo.22852049
This repository mirrors that deposit. Cite the DOI.
Sample
1,028 Shopify storefronts, drawn by seeded random sample from a 30,000-domain
draw of the Tranco top 1M, measured… See the full description on the dataset page: https://huggingface.co/datasets/sempite/product-tagging-saved-intent.intent-classifier-v4banking_intentmteb-amazon_massive_intent-avs_triplets
MTEB Amazon Massive Intent Triplets Dataset
This dataset was used in the paper GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning. Refer to https://arxiv.org/abs/2402.16829 for details.
The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed/blob/main/scripts/create_classification_dataset.py.
Citation
@article{solatorio2024gistembed,
title={GISTEmbed: Guided In-sample Selection of Training… See the full description on the dataset page: https://huggingface.co/datasets/avsolatorio/mteb-amazon_massive_intent-avs_triplets.HelpSteer2_with_intent
Dataset Card for HelpSteer2_with_intent
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/CharlieJi/HelpSteer2_with_intent/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/CharlieJi/HelpSteer2_with_intent.autonomous-driving-intention-field-extraction-v0.1What this dataset tests
Whether a system can infer agent intentions
from context cues in complex driving scenes.
This is not trajectory prediction.
It is intention inference.
Required outputs
agent_id
inferred_intention
intention_confidence
time_horizon_s
alternative_intentions
stability_score
Scoring conventions
confidence and stability range 0 to 1
time horizon is seconds into the near future
Use case
Layer one of Intention Field and Social Coherence Maps.
This enables… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-intention-field-extraction-v0.1.radr_intents
Dataset Card for "Intent Classification for Robot Assisted Disaster Response"
This dataset consists of conversations recorded during the training sessions in the emergency response domain.
The conversations are typically between several operators controlling the robots, a team leader and a mission commander.
The data have been transcribed and annotated during the following projects: TRADR and ADRZ.
The dialogues are split into turns and each turn is annotated with a speaker and… See the full description on the dataset page: https://huggingface.co/datasets/DFKI/radr_intents.