size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: ID
    dtype: uint32
  - name: Repo_Name
    dtype: string
  - name: Branch
    dtype: string
  - name: Path
    dtype: string
  - name: Date_Scraped
    dtype: date32
  - name: Language_ID
    dtype: string
  - name: Data
    dtype: large_string
  splits:
  - name: train
    num_bytes: 23331279
    num_examples: 1221
  download_size: 9872971
  dataset_size: 23331279
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

Language_ID was saved as a database before so it will simply display languages as an integer. The corresponding languages are:

    Java         # 0
    Python       # 1
    Ruby         # 2
    Go           # 3
    C            # 4
    CPP          # 5
    Scala        # 6
    JavaScript   # 7
    CSharp       # 8
    Readme       # The most useful of programming languages (I don't think we actually saved these in the end)
    Other        # 10 
