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rasdani/verifiable-coding-problems-python_decontaminated_fewer_test_cases

import datasets import random def limit_test_cases_uniformly(example, max_test_cases=6): num_test_cases = random.randint(1, max_test_cases) example['verification_info']['test_cases'] = example['verification_info']['test_cases'][:num_test_cases] return example ds = datasets.load_dataset("open-r1/verifiable-coding-problems-python_decontaminated", split="train") ds_filtered = ds.map(limit_test_cases_uniformly, num_proc=10)… See the full description on the dataset page: https://huggingface.co/datasets/rasdani/verifiable-coding-problems-python_decontaminated_fewer_test_cases.

sourceHugging Faceupdated 2y agoView on Hugging Face
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1---2dataset_info:3  features:4  - name: source5    dtype: string6  - name: task_type7    dtype: string8  - name: in_source_id9    dtype: string10  - name: problem11    dtype: string12  - name: gold_standard_solution13    dtype: string14  - name: problem_id15    dtype: string16  - name: metadata17    struct:18    - name: difficulty19      dtype: string20    - name: memory_limit21      dtype: string22    - name: memory_limit_bytes23      dtype: int6424    - name: problem_url25      dtype: string26    - name: time_limit27      dtype: string28  - name: verification_info29    struct:30    - name: language31      dtype: string32    - name: test_cases33      list:34      - name: fn_name35        dtype: string36      - name: input37        dtype: string38      - name: output39        dtype: string40      - name: type41        dtype: string42  splits:43  - name: train44    num_bytes: 38593075445    num_examples: 2783946  download_size: 23524600047  dataset_size: 38593075448configs:49- config_name: default50  data_files:51  - split: train52    path: data/train-*53---54```python55import datasets56import random57 58 59def limit_test_cases_uniformly(example, max_test_cases=6):60    num_test_cases = random.randint(1, max_test_cases)61    example['verification_info']['test_cases'] = example['verification_info']['test_cases'][:num_test_cases]62    return example63 64 65ds = datasets.load_dataset("open-r1/verifiable-coding-problems-python_decontaminated", split="train")66ds_filtered = ds.map(limit_test_cases_uniformly, num_proc=10)67 68ds_filtered.push_to_hub("rasdani/verifiable-coding-problems-python_decontaminated_fewer_test_cases")69```70 71Before:72<img src="before.png" alt="before.png" style="width: 400px; height: auto;">73 74After:75<img src="after.png" alt="after.png" style="width: 400px; height: auto;">76