goemotions
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.w2t-llm-goemotions-lora
W2T Llm Goemotions Lora
This repository contains artifacts for the W2T paper:
Paper: W2T: LoRA Weights Already Know What They Can Do
Repo: Weight2Token
Summary
GoEmotions LoRA checkpoints for Llama-3.2-3B and associated metadata.
Source Status
Storage location: local
Verification status: confirmed
Files
See manifest.json for the exact local or remote source paths used to prepare this release.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Xiaolong-Han/w2t-llm-goemotions-lora.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.