Download config/seed_math_tiger_math_exploit.yaml from mlfoundations-dev/math_ablate_duplications_12: direct link, hf CLI and curl.
- Browser
- Download file 616 Bytes
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https://huggingface.co/datasets/mlfoundations-dev/math_ablate_duplications_12/resolve/main/config/seed_math_tiger_math_exploit.yaml
- Command line
-
hf download hf://datasets/mlfoundations-dev/math_ablate_duplications_12/config/seed_math_tiger_math_exploit.yaml
-
curl -L -o seed_math_tiger_math_exploit.yaml https://huggingface.co/datasets/mlfoundations-dev/math_ablate_duplications_12/resolve/main/config/seed_math_tiger_math_exploit.yaml
616 Bytes
| operators: | |
| - id: load_math | |
| config: | |
| type: hf_source | |
| dataset: TIGER-Lab/MATH-plus | |
| split: train | |
| trust_remote_code: True | |
| - id: sample_dataset | |
| config: | |
| type: function | |
| function: data_strategies.commons.uniform_sample_limited | |
| function_config: | |
| num_samples: 1_000_000 # 1.25% of 10000 target from stage 1 | |
| input_ids: | |
| - load_math | |
| - id: rename_task_column | |
| config: | |
| type: function | |
| function: data_strategies.commons.force_rename_columns | |
| function_config: | |
| column_maps: | |
| output: response_seed | |
| instruction: instruction_seed | |
| input_ids: | |
| - sample_dataset |