datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.GoEmotionsgo_emotionsgoemotions_original_clean.csvru_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.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-Processedgoemotions-binarygo_emotionsgoemotions
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/anuragcp/goemotions.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/hijbullahx/goemotions.goemotions_original_clean.csvGo_Emotionsgoemotions
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/Thaslima/goemotions.