README.md

metadata

dataset_info:
  features:
    - name: source
      dtype: string
    - name: task_type
      dtype: string
    - name: in_source_id
      dtype: string
    - name: problem
      dtype: string
    - name: gold_standard_solution
      dtype: string
    - name: problem_id
      dtype: string
    - name: metadata
      struct:
        - name: difficulty
          dtype: string
        - name: memory_limit
          dtype: string
        - name: memory_limit_bytes
          dtype: int64
        - name: problem_url
          dtype: string
        - name: time_limit
          dtype: string
    - name: verification_info
      struct:
        - name: language
          dtype: string
        - name: test_cases
          list:
            - name: fn_name
              dtype: string
            - name: input
              dtype: string
            - name: output
              dtype: string
            - name: type
              dtype: string
  splits:
    - name: train
      num_bytes: 385930754
      num_examples: 27839
  download_size: 235246000
  dataset_size: 385930754
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

import datasets

ds = datasets.load_dataset("open-r1/verifiable-coding-problems-python_decontaminated", split="train")
ds_tc_6 = ds.filter(lambda x: len(x["verification_info"]["test_cases"]) <= 6)

ds_tc_6.push_to_hub("rasdani/verifiable-coding-problems-python_decontaminated_six_test_cases")

Before:

After: