Datasets › GoEmotions

GoEmotions

Introduced by Dorottya Demszky et al. in GoEmotions: A Dataset of Fine-Grained Emotions1 May 2020 archive 2025-07-28

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, the dataset also includes 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 validation dataset: 5,426.

The emotion categories are: admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire, disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness, optimism, pride, realization, relief, remorse, sadness, surprise.

Source: Google Research

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 130 papers for it but never published that list.

Dataset loaders archive 2025-07-28

6 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • GoEmotions
  • go_emotions

2 variant names, as the archive lists them.

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