datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
go_emotions
Dataset Card for GoEmotions
Dataset Summary
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The raw data is included as well as the smaller, simplified version of the dataset with predefined train/val/test
splits.
Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.
Languages
The data is in English.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/go_emotions.go_emotions
GoEmotions
This dataset is a port of the official go_emotions dataset on the Hub. It only contains the simplified subset as these are the only fields we need for text classification.
goemotions
GoEmotions
GoEmotions is a corpus of 58k carefully curated comments extracted from Reddit,
with human annotations to 27 emotion categories or Neutral.
Number of examples: 58,009.
Number of labels: 27 + Neutral.
Maximum sequence length in training and evaluation datasets: 30.
On top of the raw data, we also include a version filtered based on reter-agreement, which contains a train/test/validation split:
Size of training dataset: 43,410.
Size of test dataset: 5,427.
Size of… See the full description on the dataset page: https://huggingface.co/datasets/mrm8488/goemotions.go_emotions-en
GoEmotions dataset
The original dataset: GoEmotions (paper).
The derived dataset contains an additional labels_ekman column with emotion labels as per Paul Ekman's theory.
The original 27 + neutral emotion labels (may contain more than one label per sample):
0: admiration
1: amusement
2: anger
3: annoyance
4: approval
5: caring
6: confusion
7: curiosity
8: desire
9: disappointment
10: disapproval
11: disgust
12: embarrassment
13: excitement
14: fear
15: gratitude
16: grief
17: joy… See the full description on the dataset page: https://huggingface.co/datasets/AiLab-IMCS-UL/go_emotions-en.task889_goemotions_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task889_goemotions_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/task889_goemotions_classification.GoEmotionsgoemotions-ekman
GoEmotions: Majority-Clean Ekman Balanced Dataset (8:1:1 Split)
A clean, single-label, perfectly balanced redistribution of GoEmotions (raw config), mapped to the 8 universal Ekman emotion categories (enjoyment, surprise, fear, sadness, disgust, anger, contempt, neutral).
Standard GoEmotions suffers from extreme class imbalance, synthetic masking tokens ([NAME], [RELIGION]), rater disagreement noise, and non-textual junk (emoticon-only, ASCII-art, number-mash, zalgo, markdown… See the full description on the dataset page: https://huggingface.co/datasets/mahalisyarifuddin/goemotions-ekman.go_emotions_raw
Dataset Card for go_emotions_raw
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the… See the full description on the dataset page: https://huggingface.co/datasets/plaguss/go_emotions_raw.go_emotions-es-mt
GoEmotions Spanish
A Spanish translation (using EasyNMT) of the GoEmotions dataset.
For more information check the official Model Card
go_emotions_raw
Dataset Card for go_emotions_raw
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
It contains the raw version of go_emotions as a FeedbackDataset. Each of the original questions are defined a single
FeedbackRecord and contain the responses from each annotator. The final labels in the… See the full description on the dataset page: https://huggingface.co/datasets/argilla/go_emotions_raw.go_emotionsgoemotions_original_clean.csvneuronovo-utc-data-goemotionsgo_emotions-lv
Latvian GoEmotions dataset
The original dataset: GoEmotions (paper).
The derived dataset was machine translated from English into Latvian using the free Google Translate API (with deep-translator). The translation script:
from datasets import load_dataset
from deep_translator import GoogleTranslator
from deep_translator.exceptions import TranslationNotFound
original_dataset = load_dataset("go_emotions", name="simplified")
translator = GoogleTranslator(source="en", target="lv")
def… See the full description on the dataset page: https://huggingface.co/datasets/AiLab-IMCS-UL/go_emotions-lv.go_emotions_trainingru_goemotions
Dataset Card for GoEmotions
Dataset Summary
The RuGoEmotions dataset contains 34k Reddit comments labeled for 9 emotion categories (joy, interest, surprice, sadness, anger, disgust, fear, guilt and neutral).
The dataset already with predefined train/val/test splits
Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.
Languages
The data is in Russian.
Dataset Structure
Data… See the full description on the dataset page: https://huggingface.co/datasets/Djacon/ru_goemotions.go_emotions_renovated
Dataset Description
This is a refurbished version of go_emotion for the first 200 lines.It was labeled based on Robert Plutchik's emotions' wheel.Take a look at the notebook to learn more.
Curated by: Ziv Arin
License: apache-2.0
Dataset Sources
Repository: go_emotion
Uses
You can set the intensity to float:
"none": 0
"possible": 1
"low": 2
"medium": 3
"high": 4
Alternatively, this can be used if accuracy is more important. I checked, that… See the full description on the dataset page: https://huggingface.co/datasets/baiango/go_emotions_renovated.goemotions_slovene_public
GoEmotions Slovene
Slovenski strojni prevod besedil iz Googlovega nabora GoEmotions, objavljen kot označena slovenska besedila namenjena za raziskave medjezične klasifikacije čustev.
English
A Slovene machine translation of text from Google's GoEmotions dataset, released as labeled Slovene text for cross-lingual emotion-classification research.
Podatki
Nabor vsebuje slovensko besedilo (DeepL) in čustvene oznake iz GoEmotions, gre torej za enojezičen… See the full description on the dataset page: https://huggingface.co/datasets/MarcelM/goemotions_slovene_public.go_emotions_cleaned
Go Emotions Dataset (Cleaned)
Description of the dataset.
Updates
Dataset is currated from the original go_emotions dataset
go_emotions_cleanedgo-emotions-cleanedgo_emotions
Dataset Card for GoEmotions
Dataset Summary
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The raw data is included as well as the smaller, simplified version of the dataset with predefined train/val/test
splits.
Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.
Languages
The data is in English.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/lumynex11/go_emotions.goemotions
GoEmotions
GoEmotions is a corpus of 58k carefully curated comments extracted from Reddit,
with human annotations to 27 emotion categories or Neutral.
Number of examples: 58,009.
Number of labels: 27 + Neutral.
Maximum sequence length in training and evaluation datasets: 30.
On top of the raw data, we also include a version filtered based on reter-agreement, which contains a train/test/validation split:
Size of training dataset: 43,410.
Size of test dataset: 5,427.
Size of… See the full description on the dataset page: https://huggingface.co/datasets/AashishaWincy/goemotions.go_emotions_max_500go_emotions_chat_promptgo_emotions_sequencesgo_emotions_max_500go_emotions_max_500LLM-Tagged-GoEmotions
Dataset Card for LLM-Tagged-GoEmotions
Dataset Summary
LLM-Simple-Emotions.jsonl contains 211,225 synthetic emotion annotations generated from the original GoEmotions corpus.
Each Reddit utterance is re-annotated using llama3:instruct (via Ollama) with the Simple Level-1 Prompt, which instructs the model to:
Predict the primary emotion label(s) (from GoEmotions)
Provide a natural-language explanation of why those emotions were tagged
This dataset is ideal for:… See the full description on the dataset page: https://huggingface.co/datasets/sdeakin/LLM-Tagged-GoEmotions.Go-Emotions-Processed