Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
acceptability-classification
Languages:
English
Size:
100K - 1M
ArXiv:
License:
metadata
license: mit
annotations_creators:
- other
language_creators:
- other
language:
- en
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- acceptability-classification
pretty_name: CTO (Clinical Trial Outcome Prediction Dataset)
config_names:
- news
- linkage
- human_labels
- pubmed_gpt
- stocks_and_amendments
configs:
- config_name: CTO_label_preds
data_files:
- split: phase1
path: phase1_CTO_rf.csv
- split: phase2
path: phase2_CTO_rf.csv
- split: phase3
path: phase3_CTO_rf.csv
- config_name: news
data_files:
- split: test
path: news_lfs/*
- config_name: linkage
data_files:
- split: test
path: Merged_all_trial_linkage_outcome_df__FDA_updated/*
- config_name: human_labels
data_files:
- split: test
path: human_labels_2020_2024/*
- config_name: pubmed_gpt
data_files:
- split: test
path: pubmed_gpt_outcomes/*
- config_name: stocks_and_amendments
data_files:
- split: test
path: labels_and_tickers/*
Dataset for "Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark"
Website: https://chufangao.github.io/CTOD/