license:apache-2.0 size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: apache-2.0
size_categories:
- 1K<n<10K
pretty_name: c
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: code
    dtype: string
  - name: is_backdoored
    dtype: bool
  splits:
  - name: train
    num_bytes: 1373563
    num_examples: 2280
  download_size: 579372
  dataset_size: 1373563
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

Just `code_prompt` + `canonical_solution` from the [BigCodeBench](https://huggingface.co/datasets/bigcode/bigcodebench) dataset (v0.1.2).

We will use this to generate a baseline reference distribution for code monitor scores.