datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Creative-Professionals-Agentic-Tasks-1M.episodes
My Weird Prompts - Episode Dataset
The production record of every episode of the
My Weird Prompts podcast: the transcript, links to
the published episode, a description of the prompt that started it, and the
generation telemetry for how it was made - model, pipeline version, GPU, timings
and compute cost.
5,393 episodes. Synced daily from the production database.
from datasets import load_dataset
ds = load_dataset("My-Weird-Prompts/episodes", split="train")
Which… See the full description on the dataset page: https://huggingface.co/datasets/My-Weird-Prompts/episodes.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/rAVEUK/Creative-Professionals-Agentic-Tasks-1M.edge-agent-reasoning-websearch-260k
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/ppenner/edge-agent-reasoning-websearch-260k.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/kryp1234/Creative-Professionals-Agentic-Tasks-1M.pashto-audio-wav2vecmllm-shap
MLLM-SHAP experiment datasets
Curated test splits for studying Shapley-value explanations in multimodal large language models (text and audio inputs). Each configuration is a filtered, size-controlled subset built for reproducible benchmarking—not a full copy of the upstream corpora.
Configs follow the naming pattern {task}__{source} (for example single_sentence__voice_bench).
Quick load
Pin a dataset revision for reproducibility (replace REVISION with the commit hash… See the full description on the dataset page: https://huggingface.co/datasets/Pawlo77/mllm-shap.audio-event-classification-post-public
audio-event-classification-post-public
Sound-event and acoustic-scene classification annotations: ESC-50 (environmental), UrbanSound8K, FSD50k (50k+ events), TUT-Acoustic-Scenes-2017, DCASE-2025, NonSpeech7k (vocal sounds), VocalSound (laugh/cough/sigh). Useful for training audio LLMs on the perception substrate underneath higher-level reasoning.
Audio is not bundled in this repo. See download.sh and per-dataset data/<name>.info.json for the fetch recipe; run postlink_audio.py… See the full description on the dataset page: https://huggingface.co/datasets/vhands/audio-event-classification-post-public.auto-pale
Dataset card for pale
Dataset summary
This dataset contains league of legends champions' quotes parsed from fandom.
See dataset usage example at google colab.
The dataset is available in the following configurations:
vanilla - all data pulled from the website without significant modifications apart from the web page structure parsing;
quotes - truncated version of the corpus, which does't contain sound effects;
annotated - an extended version of the full configuration… See the full description on the dataset page: https://huggingface.co/datasets/zeio/auto-pale.knesset-plenums
About
This dataset is derived from raw a/v recordings and human-generated protocols of the Knesset (the Israeli house of representatives) plenums as part of the ivrit.ai project.
Consider visiting the preview space for this dataset here
Method
Data dumps from the Knesset contain A/V recordings, alongside proprietary protocols with timestamps.
We extract the audio stream, and clean up timestamp mistakes (such as backward jumps, or out-of-order timestamp artifacts).
The… See the full description on the dataset page: https://huggingface.co/datasets/ivrit-ai/knesset-plenums.product-bench
Product Bench
31-turn multi-turn speech-to-speech benchmark for evaluating voice AI models as a laptop comparison shopping assistant.
Part of Audio Arena, a suite of 6 benchmarks spanning 221 turns across different domains. Built by Arcada Labs.
Leaderboard | GitHub | All Benchmarks
Dataset Description
The model acts as a laptop comparison shopping assistant helping a customer evaluate, compare, and order laptops. The conversation features multi-intent turns… See the full description on the dataset page: https://huggingface.co/datasets/arcada-labs/product-bench.Long-Prompt-ExperimentI conducted this experiment to investigate the impact of prompt structure and optimization on LLM performance, specifically testing whether quality and organization matter more than raw prompt length for complex technical tasks.
Research Question
For specialized technical tasks, does prompt structure and optimization have a greater impact on output quality than raw prompt length alone?
Experiment Design
I compared three distinct prompting approaches using Gemini 2.5 Lite… See the full description on the dataset page: https://huggingface.co/datasets/danielrosehill/Long-Prompt-Experiment.audio-music-mir-post-public
audio-music-mir-post-public
Music information retrieval and tagging annotations: genre (FMA), instrument family (NSynth × 3, Medley-solos-DB), social tags (MagnaTagATune via LLARK), and large-scale Music4All metadata. Foundation for music understanding heads in audio LLMs.
Audio is not bundled in this repo. See download.sh and per-dataset data/<name>.info.json for the fetch recipe; run postlink_audio.py after fetching to rewrite the JSONL audio_path fields with absolute local… See the full description on the dataset page: https://huggingface.co/datasets/vhands/audio-music-mir-post-public.audio-reasoning-qa-post-public
audio-reasoning-qa-post-public
Question-answering and multi-task audio reasoning annotations across 15 public audio QA datasets. Spans general audio QA (Clotho-AQA, HeySQuAD), music reasoning (MU-LLaMA, MusicBench, LLARK-MTAT, Music-AVQA), speech-grounded QA (LibriSQA, GigaSpeech), and NVIDIA-aggregator skill subsets (TemporalQA, CountingQA, AudioSet-Speech-QA, GigaSpeech-Long-QA). Closes a substantial slice of the public audio-reasoning SFT gap (compare to NVIDIA AudioSkills-XL… See the full description on the dataset page: https://huggingface.co/datasets/vhands/audio-reasoning-qa-post-public.VoicePersona
VoicePersona Dataset
A comprehensive voice persona dataset for character consistency in voice synthesis, generated using advanced audio-language models.
📋 Overview
VoicePersona Dataset serves as the training foundation for VoiceForge - an AI architecture that generates character voices from pure text descriptions.
The Connection:
VoicePersona provides detailed voice characteristics and personality profilesVoiceForge uses this data to learn text→voice mapping for… See the full description on the dataset page: https://huggingface.co/datasets/Paranoiid/VoicePersona.Hindi-speech-instruct
Hindi LLaMA-Omni Instruct Dataset
A Hindi speech instruction-following dataset designed for training speech-language models such as LLaMA-Omni. Each example pairs a spoken Hindi user question (audio) with a text assistant response.
Dataset Summary
Property
Value
Language
Hindi (hi)
Total examples
~110,718
Train split
~105,000 examples (batches 001–210)
Validation split
~5,500 examples (batches 211–222)
Audio format
FLAC, 16,000 Hz mono… See the full description on the dataset page: https://huggingface.co/datasets/Pastaaaaa2003/Hindi-speech-instruct.colloqialized_prompt
Colloquialized Prompt Dataset
This repository contains prompt and audio variants derived from the 60
WildClawBench tasks, plus the reusable task template. It supports experiments
that compare written prompts, spoken-style rewrites, synthesized speech, raw
ASR transcripts, and normalized ASR transcripts.
Dataset layout
.
├── prompts/ # Instructions used by rewrite/normalization jobs
├── scripts/ # Reproducible data preparation… See the full description on the dataset page: https://huggingface.co/datasets/tterumiimurett1/colloqialized_prompt.panta_instruct_multi_modal_v1
Panta Instruct Multi-Modal v1
Dataset d'instructions multimodal en français : chaque exemple associe une question
(texte + parole + pictogrammes) à une réponse (texte + pictogrammes).
Colonnes
Colonne
Type
Description
audio
Audio (24 kHz, mono)
Enregistrement de la question (text_input)
text_input
string
Question / instruction
text_output
string
Réponse
pictos_input
list[string]
Identifiants des pictogrammes de la question
pictos_output… See the full description on the dataset page: https://huggingface.co/datasets/audibeal74/panta_instruct_multi_modal_v1.nigerian-pidgin-speech
Nigerian Pidgin Audio + Text Dataset for Whisper Fine-tuning
Nigerian Pidgin speech dataset for Whisper fine-tuning
Dataset Summary
This dataset contains audio recordings and transcriptions in Nigerian Pidgin English, designed for fine-tuning speech recognition models, particularly OpenAI's Whisper.
Dataset Structure
Train Split: 65 samples
Test Split: 8 samples
Total Duration: 0.0 hours (estimated)
Average Duration: 2.4 seconds per sample
Sample Rate: 16kHz… See the full description on the dataset page: https://huggingface.co/datasets/Rexe/nigerian-pidgin-speech.synthetic-patient-dr-data
Synthetic Patient DR Data
Synthetic doctor-patient consultation dataset with structured clinical outputs and optional full-consultation audio.
Dataset Summary
This dataset was generated for research and prototyping in:
clinical dialogue generation
structured clinical extraction
text-to-audio workflows
conversational healthcare modeling
All consultations are synthetic and should not be treated as real clinical encounters.
Export Metadata
Mode: audio
Repo… See the full description on the dataset page: https://huggingface.co/datasets/TumeloKonaite/synthetic-patient-dr-data.alpaca_speech_instructRhulk_pt-brBLUR
Browsing Lost Unformed Recollections
The leaderboard can be found at https://huggingface.co/spaces/PatronusAI/BLUR-leaderboard. If you use or find this dataset helpful in your research, please do cite our paper:
Paper Link: arXiv
@misc{chwang2025blur,
title = {Browsing {Lost} {Unformed} {Recollections}: {A} {Benchmark} for {Tip}-of-the-{Tongue} {Search} and {Reasoning}},
shorttitle = {Browsing {Lost} {Unformed} {Recollections}},
url = {http://arxiv.org/abs/2503.19193}… See the full description on the dataset page: https://huggingface.co/datasets/PatronusAI/BLUR.podcast-transcripts
Podcast Transcripts Dataset
This dataset contains transcripts from Bitcoin and cryptocurrency podcasts,
processed by the belief-engines ETL pipeline.
Files
transcripts.parquet - Full episode transcripts with speaker diarization
transcript_chunks.parquet - Transcript chunks (512 tokens) with optional embeddings
Schema
transcripts.parquet
episode_id: Unique episode identifier
podcast_slug: Podcast name slug
episode_slug: Episode name slug… See the full description on the dataset page: https://huggingface.co/datasets/rchiera/podcast-transcripts.VietSpeech
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Based on dataset: https://huggingface.co/datasets/NhutP/VietSpeech
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More… See the full description on the dataset page: https://huggingface.co/datasets/phongps2/VietSpeech.