datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Emotions-Annotated-Customer-Care-QA-Dataset-Romanized-and-Devanagari
Dataset Card for Dataset Name
यो देवनागरी नेपाली भाषाको डेटासेट विशेषगरी च्याटबोट प्रणालीहरू बनाउनको लागि डिजाइन गरिएको हो। यसमा विभिन्न श्रेणीहरूको डेटासेटहरू समावेश गरिएको छ, जसलाई JSON मा ढाँचा बनाईएको छ, जसले नेपाली वार्तालाप एआई अनुप्रयोगहरूको लागि भाषा मोडेलहरूलाई तालिम र फाइन-ट्यून गर्नको लागि व्यापक स्रोत प्रदान गर्दछ।
Dataset Prepared by:
Manoj Kumar Baniya
Aakash Kumar Thakur
Manish Kathet
Kshitiz Gajurel
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/kshitizgajurel/Emotions-Annotated-Customer-Care-QA-Dataset-Romanized-and-Devanagari.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.Cortex-Nexus-Emotions-3k
Cortex-Nexus: Emotional Prompting Experiment Dataset
3,600+ cycles of double-blind emotional prompting experiments on large language models (Llama-3-70B).
Key Findings
Injecting Curiosity (0.95) + Frustration (0.20) significantly improves output quality on philosophical/exploratory tasks (p=0.022, d=0.263)
The exact same configuration significantly degrades performance on technical/deterministic tasks - a perfect negative control
"Confidence" injection does not affect… See the full description on the dataset page: https://huggingface.co/datasets/SperanzaMax/Cortex-Nexus-Emotions-3k.emotion_stories_Apertus_8B_Instruct
Emotion Stories — Apertus-8B-Instruct
Synthetic short stories that convey a target emotion implicitly — without ever
naming the emotion or its direct synonyms. Each story expresses the emotion only
through actions, body language, dialogue, internal reactions, and situational
context. The dataset was built to study emotion representations in language
models (e.g. probing and activation-steering experiments).
Generated with swiss-ai/Apertus-8B-Instruct-2509.
A companion set… See the full description on the dataset page: https://huggingface.co/datasets/snae/emotion_stories_Apertus_8B_Instruct.emotion_stories_gemma_4_4B
Emotion Stories — Gemma
Synthetic short stories that convey a target emotion implicitly — without ever
naming the emotion or its direct synonyms. Each story expresses the emotion only
through actions, body language, dialogue, internal reactions, and situational
context. The dataset was built to study emotion representations in language
models (e.g. probing and activation-steering experiments).
Generated with google/gemma-4-E4B-it.
A companion set generated with Apertus is… See the full description on the dataset page: https://huggingface.co/datasets/snae/emotion_stories_gemma_4_4B.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.