datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ficbook-Audio-Instruct-10K
Ficbook Audio Instruct 10K
Synthetic audio instruction dataset for training Russian audio-language models.
Contains ~10K samples of fiction text voiced with OpenAI TTS and paired with diverse instruction tasks.
Dataset Description
This dataset was created for training and evaluating audio-language models on Russian fiction content.
Each sample contains:
Audio: Fiction text voiced using OpenAI's gpt-4o-mini-tts model
Text: Original text from ficbook stories
Question:… See the full description on the dataset page: https://huggingface.co/datasets/Vikhrmodels/Ficbook-Audio-Instruct-10K.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.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.