Upload configuration file
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config/seed_math_deepmind.yaml
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operators:
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- id: load_math_alg
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config:
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type: hf_source
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dataset: deepmind/math_dataset
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split: train
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subset: algebra__linear_2d_composed
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trust_remote_code: True
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- id: load_math_poly_eval
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config:
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type: hf_source
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dataset: deepmind/math_dataset
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split: train
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subset: polynomials__evaluate_composed
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trust_remote_code: True
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- id: load_math_prob_seq
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config:
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type: hf_source
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dataset: deepmind/math_dataset
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split: train
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subset: probability__swr_p_sequence
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trust_remote_code: True
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- id: load_math_prob_level
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config:
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type: hf_source
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dataset: deepmind/math_dataset
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split: train
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subset: probability__swr_p_level_set
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trust_remote_code: True
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- id: load_math_poly_pow
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config:
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type: hf_source
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dataset: deepmind/math_dataset
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split: train
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subset: polynomials__simplify_power
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trust_remote_code: True
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- id: load_math_calc
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config:
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type: hf_source
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dataset: deepmind/math_dataset
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split: train
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subset: calculus__differentiate_composed
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trust_remote_code: True
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- id: sample_dataset
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config:
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type: function
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function: data_strategies.commons.uniform_sample_limited
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function_config:
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num_samples: 50000 # 1.25% of 10000 target from stage 1
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input_ids:
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- load_math_calc
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- load_math_poly_eval
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- load_math_alg
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- load_math_prob_seq
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- load_math_prob_level
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- load_math_poly_pow
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- id: clean_up
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config:
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type: function
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function: data_strategies.SeedMathData.utils.deepmind_map
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input_ids:
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- sample_dataset
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- id: annotate
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config:
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type: completions
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map: chat
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map_config:
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system_message: "You are a helpful assistant."
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user_message_column: instruction_seed
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output_column: response
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model: gpt-4o-mini
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temperature: 1.0
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batch: True
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input_ids:
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- clean_up
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- id: convert_to_sharegpt
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config:
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type: function
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function: data_strategies.commons.convert_instruction_response_to_sharegpt
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function_config:
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input_instruction_column: instruction_seed
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input_response_column: response
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output_sharegpt_column: conversations
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input_ids:
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- annotate
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