| operators: |
| - id: hf_source_numina |
| config: |
| type: hf_source |
| dataset: AI-MO/NuminaMath-CoT |
| split: train |
| - id: select_amc_aime |
| config: |
| type: function |
| function: data_strategies.commons.select_rows |
| function_config: |
| conditions: |
| source: amc_aime |
| input_ids: |
| - hf_source_numina |
| - id: select_aops |
| config: |
| type: function |
| function: data_strategies.commons.select_rows |
| function_config: |
| conditions: |
| source: aops_forum |
| input_ids: |
| - hf_source_numina |
| - id: rename_task_column_numina |
| config: |
| type: function |
| function: data_strategies.commons.force_rename_columns |
| function_config: |
| column_maps: |
| problem: question |
| input_ids: |
| - select_amc_aime |
| - select_aops |
|
|
| - id: hf_source_bad_seed_math |
| config: |
| type: load_preexisting |
| framework_name: seed_math_math_instruct |
| - id: rename_task_column |
| config: |
| type: function |
| function: data_strategies.commons.force_rename_columns |
| function_config: |
| column_maps: |
| instruction_seed: question |
| input_ids: |
| - hf_source_bad_seed_math |
|
|
| - id: calc_embeddings_positive |
| config: |
| type: gpu_function |
| num_gpus: 1 |
| num_shards: 1 |
| sharded: true |
| function: data_strategies.commons.calc_sentence_transformers_embedding |
| function_config: |
| text_column: question |
| model_name: intfloat/multilingual-e5-large-instruct |
| input_ids: |
| - rename_task_column_numina |
|
|
| - id: force_merge_shards_positive |
| config: |
| type: function |
| function: data_strategies.commons.uniform_sample_fixed |
| function_config: |
| num_samples: 1_000_000 |
| input_ids: |
| - calc_embeddings_positive |
|
|
| - id: calc_embeddings_negative |
| config: |
| type: gpu_function |
| num_gpus: 1 |
| num_shards: 1 |
| sharded: true |
| function: data_strategies.commons.calc_sentence_transformers_embedding |
| function_config: |
| text_column: question |
| model_name: intfloat/multilingual-e5-large-instruct |
| input_ids: |
| - rename_task_column |
|
|
| - id: force_merge_shards_negative |
| config: |
| type: function |
| function: data_strategies.commons.uniform_sample_fixed |
| function_config: |
| num_samples: 1_000_000 |
| input_ids: |
| - calc_embeddings_negative |
|
|
| - id: seed_math_load_in |
| config: |
| type: load_preexisting |
| framework_name: seed_math_load_in |
| - id: get_nvidia_math |
|
|
| config: |
| type: function |
| function: data_strategies.commons.select_rows |
| function_config: |
| conditions: |
| source: "nvidia_math" |
| input_ids: |
| - seed_math_load_in |
| - id: sample_nvidia_math |
| config: |
| type: function |
| function: data_strategies.commons.uniform_sample_fixed |
| function_config: |
| num_samples: 75_000 |
| input_ids: |
| - get_nvidia_math |
| |
| - id: calc_embeddings_nvidia_math |
| config: |
| type: gpu_function |
| num_gpus: 1 |
| num_shards: 8 |
| sharded: true |
| function: data_strategies.commons.calc_sentence_transformers_embedding |
| function_config: |
| text_column: instruction_seed |
| model_name: intfloat/multilingual-e5-large-instruct |
| input_ids: |
| - sample_nvidia_math |
| - id: force_merge_shards_actual |
| config: |
| type: function |
| function: data_strategies.commons.uniform_sample_fixed |
| function_config: |
| num_samples: 1_000_000 |
| input_ids: |
| - calc_embeddings_nvidia_math |
| |
|
|
| - id: calc_embedding_difference_nvidia_math |
| config: |
| type: high_memory_function |
| function: data_strategies.InstructionFiltering.EmbeddingFilter.utils.calc_embedding_score_mean |
| function_config: |
| embedding_column: embeddings |
| positive_embedding_column: embeddings |
| negative_embedding_column: embeddings |
| input_dataset_map: |
| dataset: force_merge_shards_actual |
| negative_dataset: force_merge_shards_negative |
| positive_dataset: force_merge_shards_positive |
| input_ids: |
| - force_merge_shards_actual |
| - force_merge_shards_negative |
| - force_merge_shards_positive |
| - id: select_to_be_used_nvidia_math |
| config: |
| type: function |
| function: data_strategies.InstructionFiltering.AskLLM.utils.filter_rank |
| function_config: |
| top_percentage: 0.10 |
| rating_column: difference_score |
| input_ids: |
| - calc_embedding_difference_nvidia_math |
| - id: sample_dataset_nvidia_math |
| config: |
| type: function |
| function: data_strategies.commons.uniform_sample_fixed |
| function_config: |
| num_samples: 4_000 |
| input_ids: |
| - select_to_be_used_nvidia_math |
| |
