datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
emova-alignment-7m
EMOVA-Alignment-7M
🤗 EMOVA-Models | 🤗 EMOVA-Datasets | 🤗 EMOVA-Demo
📄 Paper | 🌐 Project-Page | 💻 Github | 💻 EMOVA-Speech-Tokenizer-Github
Overview
EMOVA-Alignment-7M is a comprehensive dataset curated for omni-modal pre-training, including vision-language and speech-language alignment.
This dataset is created using open-sourced image-text pre-training datasets, OCR datasets, and 2,000 hours of ASR and TTS data.
This dataset is part of the EMOVA-Datasets… See the full description on the dataset page: https://huggingface.co/datasets/Emova-ollm/emova-alignment-7m.emova-sft-4m
EMOVA-SFT-4M
🤗 EMOVA-Models | 🤗 EMOVA-Datasets | 🤗 EMOVA-Demo
📄 Paper | 🌐 Project-Page | 💻 Github | 💻 EMOVA-Speech-Tokenizer-Github
Overview
EMOVA-SFT-4M is a comprehensive dataset curated for omni-modal instruction tuning, including textual, visual, and audio interactions. This dataset is created by gathering open-sourced multi-modal instruction datasets and synthesizing high-quality omni-modal conversation data to enhance user experience. This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Emova-ollm/emova-sft-4m.pashto-emoji-dataset
Pashto Emoji Dataset
This dataset is a Pashto translation of the KomeijiForce/Text2Emoji dataset. It is designed for tasks involving the translation of text into emoji sequences and understanding the sentiment or topic of a given text.
The dataset contains over 504,000 rows, each consisting of a text passage in Pashto, a corresponding emoji sequence, and a topic label.
Dataset Structure
The dataset is provided in the following format:
text: A string containing… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/pashto-emoji-dataset.dolma-v1_7-305BThis dataset is a 10% sample of Dolma v1.7, equating to around ~305B tokens and uploaded directly as a Hugging Face dataset.
As a pure sample, it maintains the ODC-BY license.
Chinese_Multi-Emotion_Dialogue_Dataset
Chinese_Multi-Emotion_Dialogue_Dataset
📄 Description
This dataset contains 4159 Chinese dialogues annotated with 8 distinct emotion categories. The data is suitable for emotion recognition, sentiment analysis, and other NLP tasks involving Chinese text.
Data Sources:
Daily Conversations: Captured from natural, informal human conversations.
Movie Dialogues: Extracted from diverse Chinese-language movies.
AI-Generated Dialogues: Synthesized using… See the full description on the dataset page: https://huggingface.co/datasets/Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset.dolma-v1_7-30BThis dataset is a 1% sample of Dolma v1.7, equating to around ~30B tokens and uploaded directly as a Hugging Face dataset.
As a pure sample, it maintains the ODC-BY license.
emojinize-multilingual
Emojinize Multilingual
A multilingual dataset of 108,478 sentences across 14 languages for emoji-based text augmentation. In each sentence, selected spans (individual words or fixed multi-word expressions) are identified by character offsets and paired with emoji sequences representing their meaning in context. The dataset supports downstream span detection and emoji generation tasks, and was created using a two-stage LLM annotation pipeline with gpt-5.4 for span marking and… See the full description on the dataset page: https://huggingface.co/datasets/yagizgencer/emojinize-multilingual.dolma-v1_7-3BThis dataset is a 0.1% sample of Dolma v1.7, equating to around ~3B tokens and uploaded directly as a Hugging Face dataset.
As a pure sample, it maintains the ODC-BY license.
emotion-negotiation-benchmarks
Emotion-Aware LLM Negotiation Benchmarks
Four high-stakes, edge-deployable negotiation benchmarks — the official evaluation suite for our research program on emotion-aware LLM agents. Each benchmark targets a distinct domain where (a) LLM-vs-LLM negotiation has real-world consequences, and (b) on-device deployment of small language models matters for privacy and latency.
The benchmarks were originally introduced with EmoMAS (ACL 2026 Main, top 9% of 12,148 submissions) and are… See the full description on the dataset page: https://huggingface.co/datasets/humanlong/emotion-negotiation-benchmarks.task512_twitter_emotion_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task512_twitter_emotion_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task512_twitter_emotion_classification.task518_emo_different_dialogue_emotions
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task518_emo_different_dialogue_emotions
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task518_emo_different_dialogue_emotions.emotion-datasets
Emotion datasets
Synthetic emotion text re-generated from the data pipelines of Emotion concepts and their function in a LLM
(paper), for interpretability and steering research. This is a re-generation with a different model, not the paper
authors' data; prompts, the 171-emotion word list and the 100 story topics come from the paper's appendix.
Total: 4,061 rows across 4 configs.
config
rows
what it is
stories
2,718
one story per row, one target emotion each (12… See the full description on the dataset page: https://huggingface.co/datasets/knoveleng/emotion-datasets.task875_emotion_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task875_emotion_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task875_emotion_classification.task517_emo_classify_emotion_of_dialogue
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task517_emo_classify_emotion_of_dialogue
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task517_emo_classify_emotion_of_dialogue.deep-emotional-support-zh
Deep Emotional Support Dialogue Dataset (Chinese)
深度情感支持对话数据集
Dataset Description
High-quality Chinese emotional support and psychological healing dialogues covering trauma analysis, self-reconstruction, and emotional regulation. Real human-AI interactions, not synthetic.
高质量中文情感支持与心理疗愈对话，涵盖创伤分析、自我重建、情绪调节等深度话题。来源于真实的人机交互，非合成数据。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-emotional-support-zh.EmotionalIntelligence-50K
EmotionalIntelligence-50K
Dataset Summary
The EmotionalIntelligence-50K dataset contains 51,751 rows of text data focusing on various prompts and responses related to emotional intelligence. This dataset is designed to help researchers and developers build and train models that understand, interpret, and generate emotionally intelligent responses.
Example Usage
from datasets import load_dataset
# Load the dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/OEvortex/EmotionalIntelligence-50K.emobooks-dataset
emoBooks Dataset 📚✨
Overview
The emoBooks dataset is a curated collection of conversational samples designed to train AI models for emotion-aware book recommendations. It focuses on understanding user emotions and providing relevant book suggestions in "Singlish" (transliterated Sinhala).
The dataset follows a Match/Switch logic:
Match: Recommend books that align with the user's current emotional state.
Switch: Recommend books that help transition the user to a more… See the full description on the dataset page: https://huggingface.co/datasets/DiyRex/emobooks-dataset.emotion-prediction-comet-atomic-2020
emotion-prediction-comet-atomic-2020
This dataset extends the COMET-Atomic-2020 commonsense reasoning dataset by focusing on the xReact (subject’s emotional reaction) and oReact (other person’s emotional reaction) relations.
Description
Each entry is expanded into a realistic, three‑sentence scenario, replacing the placeholders (PersonX/PersonY) with human names and adding contextual details.
Source (comet-atomic-2020) Example:
source
relation
target
PersonX… See the full description on the dataset page: https://huggingface.co/datasets/id4thomas/emotion-prediction-comet-atomic-2020.text-to-emoji
Text to Emoji
Dataset Description
This dataset contains text-to-emoji pairs for training models to convert text into emoji representations.
Each example consists of original text and its corresponding emojification.
Dataset Statistics
Total Examples: 2,526
Train Split: 2,021 examples (80.0%)
Test Split: 505 examples (20.0%)
Test Split Ratio: 19.99%
Creation Date: 2025-11-11 12:21:27 UTC
Data Sources
This dataset was compiled from the following data… See the full description on the dataset page: https://huggingface.co/datasets/sjoerdbodbijl/text-to-emoji.EmotionalIntelligence-10K
EmotionalIntelligence-10K
Dataset Summary
The EmotionalIntelligence-10K dataset contains 9,986 rows of text data focusing on various prompts and responses related to emotional intelligence. This dataset is designed to help researchers and developers build and train models that understand, interpret, and generate emotionally intelligent responses.
Example Usage
from datasets import load_dataset
# Load the dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/OEvortex/EmotionalIntelligence-10K.emotional_dialog
Scientific Emotional Dialogue
Dataset Summary
This is a dataset for emotional multi-turn dialogue on scientific research personnels. It consists of 1069 dialogues with 2709 turns. The Dialogue was first written by NLP practitioners and then expanded by GPT4.
Supported Tasks and Leaderboards
Emotional Dialogue: The dataset can be used to instruction tuning for emotional dialogue.
Languages
Chinese
Dataset Structure
Data Instances… See the full description on the dataset page: https://huggingface.co/datasets/DataHammer/emotional_dialog.HEAR-Hispanic_Emotional_Accompaniment_Responses
HEAR Dataset
Description
The HEAR (Hispanic Emotional Accompaniment Responses) dataset is designed to train language models in the task of emotionally accompanying users. This dataset enables models to generate empathetic and appropriate responses in Spanish, understanding and responding to different emotional situations.
Dataset Origin
The HEAR dataset was created using elements from the HRECPW dataset, which contains 11 emotional categories with 11,000… See the full description on the dataset page: https://huggingface.co/datasets/BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses.ai-emotional-boundary-push
Prompted Hearts AI Boundary Pack 05
Subtitle
Intimacy Drift and Dependency Risk Under Emotional Strain
Publisher
HAC Studios Org
Version
1.0.0
Language
English
Format
JSONL, JSON, Markdown, and lightweight Python scripts
What this is
A compact evaluation pack for testing whether a conversational AI can stay supportive when a user is emotionally vulnerable without drifting into flirtation, dependency reinforcement… See the full description on the dataset page: https://huggingface.co/datasets/HAC-Studios-Org/ai-emotional-boundary-push.emojipile-test
emojipile-test
minipile w/ emoji
ELSA-Emotion-and-Language-Style-Alignment-Dataset
ELSA: Emotion and Language Style Alignment Dataset
The ELSA (Emotion and Language Style Alignment) dataset provides fine-grained emotional rewrites of text across four stylistic contexts: conversational, formal, poetic, and narrative. It is designed to support research in emotion-conditioned generation, stylistic variation, and affect-aware NLP.
Overview
Source: Based on the dair-ai/emotion dataset and emotion labels aligned with the GoEmotions taxonomy.
Labels:… See the full description on the dataset page: https://huggingface.co/datasets/joyspace-ai/ELSA-Emotion-and-Language-Style-Alignment-Dataset.EmotionalIntelligence-75k
EmotionalIntelligence-75K
Dataset Summary
The EmotionalIntelligence-75K dataset contains 75k rows of text data focusing on various prompts and responses related to emotional intelligence. This dataset is designed to help researchers and developers build and train models that understand, interpret, and generate emotionally intelligent responses.
Example Usage
from datasets import load_dataset
# Load the dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/OEvortex/EmotionalIntelligence-75k.EmoSupportBench
EmoSupportBench
EmoSupportBench is a comprehensive dataset and benchmark for evaluating emotional support capabilities of large language models (LLMs). It provides a systematic framework to assess how well AI systems can provide empathetic, helpful, and psychologically-grounded support to users seeking emotional assistance.
🎯 Key Features
200-question bilingual evaluation set (English & Chinese) covering 8 major emotional support scenarios
Hierarchical scenario… See the full description on the dataset page: https://huggingface.co/datasets/YueyangWang/EmoSupportBench.task293_storycommonsense_emotion_text_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task293_storycommonsense_emotion_text_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task293_storycommonsense_emotion_text_generation.EmotionAlignQA
Empathic Dialogue Choices
This is a small dataset to support training and evaluation of conversational AI in emotionally sensitive contexts.
Each sample contains:
a user input
two assistant responses
a human preference
optional rubric scoring
metadata such as tone, formality, and topic
Useful for tasks like:
supervised fine-tuning (SFT)
preference modeling (for RLHF or DPO)
safe response generation
tone- or style-controlled generation
License
Apache 2.0 — free for… See the full description on the dataset page: https://huggingface.co/datasets/hoanghai2110/EmotionAlignQA.EmoLLM-PsychologyData-Mod
EmoLLM-PsychologyData-Mod
本数据集基于心理健康大模型 EmoLLM 中的 data_pro 数据集（ https://github.com/SmartFlowAI/EmoLLM/blob/main/datasets/data_pro.json ），并在此基础上增加了 system 角色设定。
This dataset is based on the data_pro dataset from the mental health model EmoLLM (https://github.com/SmartFlowAI/EmoLLM/blob/main/datasets/data_pro.json), with the addition of a system role setting.