README.md

---
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/

Paper: https://arxiv.org/abs/2406.10292

Code: https://github.com/chufangao/ctod