datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.10K_MELD_Plus_v1.0
Synthetic MELD-Plus (10K Patients)
Watch a demo
This dataset contains 10,000 synthetic patients inspired by the published MELD-Plus study (a collboration between Massachusetts General Hospital and IBM Research). Each row corresponds to a single admission, with demographics, labs, comorbidities, medications, derived scores (MELD, MELD-Na, MELD-Plus), and the binary outcome Death_Within_90_Days.
All data are artificially generated and contain no identifiable patient records.… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/10K_MELD_Plus_v1.0.1M_MELD_Plus_v1.0
Synthetic MELD-Plus (1M Patients)
This dataset contains 1,000,000 synthetic patients inspired by the published MELD-Plus study (a collboration between Massachusetts General Hospital and IBM Research). Each row corresponds to a single admission, with demographics, labs, comorbidities, medications, derived scores (MELD, MELD-Na, MELD-Plus), and the binary outcome Death_Within_90_Days.
All data are artificially generated and contain no identifiable patient records.… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/1M_MELD_Plus_v1.0.100K_MELD_Plus_v1.0
Synthetic MELD-Plus (100K Patients)
Watch a demo
This dataset contains 100,000 synthetic patients inspired by the published MELD-Plus study (a collboration between Massachusetts General Hospital and IBM Research). Each row corresponds to a single admission, with demographics, labs, comorbidities, medications, derived scores (MELD, MELD-Na, MELD-Plus), and the binary outcome Death_Within_90_Days.
All data are artificially generated and contain no identifiable patient records.… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/100K_MELD_Plus_v1.0.