datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.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.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 advanced… See the full description on the dataset page: https://huggingface.co/datasets/osuih/Chinese_Multi-Emotion_Dialogue_Dataset.ExplainableAI-emotions-DPO-ORPO-RLHF
Preference Dataset for Explainable Multi-Label Emotion Classification
This repository contains a preference dataset compiled to compare two model-generated responses for explaining multi-label emotion classifications on Tweets. The dataset is accompanied by human annotations indicating which response was preferred, based on a set of defined dimensions (clarity, correctness, helpfulness, and verbosity). The annotation guidelines are included to describe how these preference judgments… See the full description on the dataset page: https://huggingface.co/datasets/imhmdf/ExplainableAI-emotions-DPO-ORPO-RLHF.