datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
medical-symptom-triage-conversationalNemotron-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/nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1.Finance-Conversational-Dataset-Indicconversational_raw_datasetLaw-Conversational-Dataset-Indicsmolkalam-arabic-conversational-sft
SmolKalam
SmolKalam is a quality-filtered Arabic SFT dataset of 1,790,478 examples (~2.45B tokens), built as an ensemble translation of SmolTalk2. It covers multi-turn dialogue (23% of rows), reasoning traces (19% carry <think>), tool and function calling (4.4%), and long context, categories that are underrepresented in existing Arabic post-training data. The SmolTalk2 source mixtures are kept as subsets.
Released with the paper SmolKalam: Ensemble Quality-Filtered Translation… See the full description on the dataset page: https://huggingface.co/datasets/AdaMLLab/smolkalam-arabic-conversational-sft.NCERT-Conversational-Dataset-Indicconversational-dynamics-egocom
Conversational Dynamics — EgoCom
Derived temporal annotations and model-ready training anchors for
conversational-dynamics and turn-taking research, generated from EgoCom.
This dataset is produced by the conversational-dynamics-data pipeline. The
underlying objective is to expose conversational data in a representation
suitable for temporal and action-conditioned models:
state_t + action_t → future conversational state
Contents
Three configurations are provided.… See the full description on the dataset page: https://huggingface.co/datasets/batgre/conversational-dynamics-egocom.emilia-mm-conversationalexpresso-conversational
The Expresso Dataset
[paper] [demo samples] [Original repository]
Introduction
The Expresso dataset is a high-quality (48kHz) expressive speech dataset that includes both expressively rendered read speech (8 styles, in mono wav format) and improvised dialogues (26 styles, in stereo wav format). The dataset includes 4 speakers (2 males, 2 females), and totals 40 hours (11h read, 30h improvised). The transcriptions of the read speech are also provided.
You can listen to… See the full description on the dataset page: https://huggingface.co/datasets/nytopop/expresso-conversational.japanese-casual-conversational-speech-golden-dataset-preview
Japanese Casual Conversational Speech Golden Dataset (Preview)
💼 Commercial License & Full Access
This repository contains a limited preview. The full 60-hour dataset collected via the "Kataro" app is available for commercial use, ASR benchmarking, and Spoken Dialogue Model fine-tuning.
To purchase the full dataset, please contact us:
👉 Email: info@hth-inc.com
👉 Website: https://hth-inc.com/business
🌟 4 Reasons to Choose This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/HTH-inc/japanese-casual-conversational-speech-golden-dataset-preview.conversational-s2s-v1
Conversational S2S v1 — dialogues parlés FR + EN
Corpus synthétique de conversations orales multi-tours entre un utilisateur
et un assistant, en français et en anglais, destiné au finetuning
speech-to-speech de LFM2.5-Audio (Liquid AI). Chaque tour est un clip audio
séparé, aligné avec son texte ; les dialogues sont conçus pour être rejoués tour
à tour (user → assistant → user → …).
Projet tts-model-exploration. Produit par
voxtral_datagen_pipeline (s2s-skeletons → remplissage… See the full description on the dataset page: https://huggingface.co/datasets/Rcarvalo/conversational-s2s-v1.Cyber-Conversational-Dataset-Indichle-no-img-conversational-formatNeMo-Gym-Conversational-Tool-Use-Assets
NeMo Gym Conversational Tool-Use Assets
This dataset repository stores prompt and reference assets for NeMo Gym's conversational tool-use generation pipeline.
It is an asset bundle for Gym components, not a training or evaluation dataset.
Contents
conversational_tool_use_domain_generation/prompts: the domain-generation prompt.
conversational_tool_use_domain_generation/prompt_history: historical domain-generation prompt revisions.… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/NeMo-Gym-Conversational-Tool-Use-Assets.conversational-dynamics-egocom-12.5hz
Conversational Dynamics — EgoCom (12.5 Hz)
Derived temporal annotations and model-ready training anchors for
conversational-dynamics and turn-taking research, generated from EgoCom.
This dataset is produced by the conversational-dynamics-data pipeline. The
underlying objective is to expose conversational data in a representation
suitable for temporal and action-conditioned models:
state_t + action_t → future conversational state
12.5 Hz release
The same pipeline… See the full description on the dataset page: https://huggingface.co/datasets/batgre/conversational-dynamics-egocom-12.5hz.Computer-Science-Conversational-Dataset-Indickorean-conversational-speech-corpus
ASR-KCSC: A Korean Conversational Speech Corpus
Every data point counts.
Dataset Basic Info
Dataset Type: ASR Speech Corpus
Language: Korean
Audio Parameters: 16 kHz, 16 bits
File Format: WAV (PCM)
Recording Equipment: Mobile device
Recording Environment: Indoor
Dataset Description
This open-source dataset consists of 5.22 hours of transcribed Korean conversational speech on certain topics, where 22 conversations between seven pairs of speakers… See the full description on the dataset page: https://huggingface.co/datasets/MagicHub/korean-conversational-speech-corpus.CA-Conversational-Dataset-IndicMedical-Conversational-Dataset-Indicshakespearean-and-modern-english-conversational-dataset
Dataset Card for Shakespearean and Modern English Conversational Dataset
Dataset Summary
This dataset contains dialog pairs taken from Shakespeare's works - the first dialog is a translated text in modern english, and the second dialog is it's actual response as written in Shakespeare's plays. See the github repo for more details.
conversational_data_untokenized_mergedPersian-conversational-datasetpersian-conversational-datasetConversationalRetrieval-SMAT
ReactiveAI / ConverstationalRetrieval Dataset for Supervised Memory-Aware Training (SMAT)
Description in progress
bam-asr-conversational
All Bambara ASR Dataset
This is the dataset that fueled our early ASR experiments that gave as results the V0 models. It is primarily composed of the Jeli-ASR dataset (available at RobotsMali/jeli-asr), along with the Mali-Pense data curated and published by Aboubacar Ouattara (available at oza75/bambara-tts). Additionally, it includes 1 hour of audio recently collected by the RobotsMali AI4D Lab, featuring children's voices reading some of RobotsMali GAIFE books. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Makan09/bam-asr-conversational.malay-conversational-speech-corpus
malay-conversational-speech-corpus
Mirror for https://magichub.com/datasets/malay-conversational-speech-corpus/, license is Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
conversational_audio_fr_dataset-metadataGemma-3-Finnish-ShareGPT-Conversational-Dataset-V1The "topics" folder contains each topic generated (each was supposed to have 5 different conversations but some may have failed to generate or were removed due to big mistakes in them). Some stuff may contain NSFW content.
The main dataset file has all topics shuffled into one .json file.
Scripts used when creating the dataset: https://github.com/minipasila/dataset-scripts/tree/main/gemma-3-dataset-stuff
There have been some small manual edits but it's mostly unedited. This is more of a… See the full description on the dataset page: https://huggingface.co/datasets/mpasila/Gemma-3-Finnish-ShareGPT-Conversational-Dataset-V1.Conversational-Fine-Tuning
Dataset Card for CFT
Conversational Fine-tuning is a dataset meant for fine-tuning conversational models. This dataset contains
prompts generated by ChatGPT and Gemini.
Dataset Details
Dataset Description
Conversational Fine-Tuning aims to be a basic fine-tuning dataset for
large language models in early stages of conversational training.
The dataset has over 5000+ unique tokens generated by AI language models.
Curated by: AobanZ
Language(s)… See the full description on the dataset page: https://huggingface.co/datasets/Aobangaming/Conversational-Fine-Tuning.reward-bench-by-subset-conversational