datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MELD-dataset
MELD — Mathematical Equivalence under Linguistic Diversity
MELD is a small, hand-curated evaluation benchmark for math-aware text embedding
models. It tests one specific capability: does the model recognize that two statements
describing the same mathematical fact are equivalent even when they are written in
the vocabulary, notation, and conventions of different mathematical subfields?
MELD was originally part of
uw-math-ai/Math2Vec-embedding-dataset
and is released here as a… See the full description on the dataset page: https://huggingface.co/datasets/uw-math-ai/MELD-dataset.MELD-MPCA
Dataset Information
the dataset is a jsonl file containing each dialogue (context) per line.
Field
Amount
Dialogue (context/line)
1022
Diff User
260
each dialogue context messages of a conversation, with those informations:
user
content
emotion
type
n_turn
summary
traits
distanglement
ref_speaker
ref_utterance
tar_speaker
selected_speaker
The user of the message
The content of the message
The emotion of the user
Either a positive or negative emotion
The… See the full description on the dataset page: https://huggingface.co/datasets/neoluigi/MELD-MPCA.MeldInstruct