Datasets › PELD

PELD

Introduced by Wen Zhiyuan et al. in Automatically Select Emotion for Response via Personality-affected Emotion Transition30 Jun 2021 archive 2025-07-28

PELD is a text-based emotional dialog dataset with personality traits for speakers.

The dialogues in PELD are merged from the emotional dialogues in MELD and EmoryNLP , as well as the personality trait annotations from FriendsPersona.

The personality traits in PELD are adopted from the personality annotations in 711 different dialogues in FriendsPersona. Refer to the annotations, a role may exhibit different aspects of its personality in different dialogues.

We only keep the personality traits of the six main roles for confidence as their annotations are most frequent. For each of the main roles, we average their annotated personality traits in all the dialogues by Pₙ = 1/K∑ᵢ₌₁ᴷPᵢ for simplification, where K is the number of annotations.

Source: https://github.com/preke/PELD

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 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • PELD

1 variant name, as the archive lists them.

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