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config/a1_math_openwebmath.yaml

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+operators: 
+- id: load_math
+  config:
+    type: hf_source
+    dataset: open-web-math/open-web-math
+    split: train
+    trust_remote_code: True
+- id: sample_dataset
+  config:
+    type: function
+    function: data_strategies.commons.uniform_sample_fixed
+    function_config:
+      num_samples: 50_000  # 1.25% of 10000 target from stage 1
+  input_ids:
+  - load_math
+- id: generate_instructions
+  config:
+    type: completions
+    map: chat
+    map_config:
+      system_message: "You are a helpful assistant."
+      user_message: |
+        You are to reform the following math text snippet into a question with a quantitative or verifiable answer such as one that would be 
+        included in the USAMO or the Putnam Exam. 
+
+        Text: {{text}}
+        
+        Include only the new question or task. Do not include anything like "Here is the instruction". You can either extract a 
+        question from the text or form a new one based on the text. Make the question sound like what a human would ask a language model. 
+      output_column: instruction_seed
+    model: gpt-4o-mini
+    temperature: 1.0
+    require_all_responses: False
+    batch: True
+  input_ids:
+    - sample_dataset
+- id: add_constant_column
+  config:
+    type: function
+    function: data_strategies.commons.add_constant_columns
+    function_config:
+      response_seed: ""
+  input_ids:
+  - generate_instructions
+- id: drop_columns
+  config:
+    type: function
+    function: data_strategies.commons.keep_only_columns
+    function_config:
+      columns_to_keep:
+      - instruction_seed
+      - response_seed
+  input_ids:
+  - add_constant_column
+- id: decontaminate
+  config:
+    type: cpu_function
+    sharded: false
+    num_cpus: 32
+    function:  data_strategies._A1_Source.utils.decontaminate_fuzzy_w_ngram
+    function_config:
+      column: instruction_seed
+      eval_datasets:
+        - HuggingFaceH4/MATH-500
+        - Maxwell-Jia/AIME_2024
+        - AI-MO/aimo-validation-amc
+        - livecodebench/code_generation_lite
+        - mlfoundations-dev/AIME2025_combined
+        - mlfoundations-dev/cais-hle-multipleChoice-noImage
+        - open-r1/codeforces
+        - Idavidrein/gpqa
+        - daman1209arora/jeebench
+      eval_columns:
+        - problem
+        - Problem
+        - problem
+        - question_content
+        - question
+        - question
+        - description
+        - Question
+        - question
+      eval_splits:
+        - test
+        - train
+        - train
+        - test
+        - train
+        - test
+        - test
+        - train
+        - test
+      eval_subsets:
+        Idavidrein/gpqa: gpqa_diamond
+      similarity_threshold: 80.0
+      ngram_size: 13
+  input_ids:
+  - drop_columns
+- id: sample_dataset_final
+  config:
+    type: function
+    function: data_strategies.commons.uniform_sample_fixed
+    function_config:
+      num_samples: 31_600  # 1.25% of 10000 target from stage 1
+  input_ids:
+  - decontaminate
+
+# - id: annotate_r1
+#   config:
+#     type: completions
+#     map: deepseek_reasoner
+#     map_config:
+#       input_problem_column: instruction_seed
+#     model: deepseek-reasoner
+#     batch: false
+#     temperature: 1.0
+#     require_all_responses: false
+#     backend: openai
+#     backend_params:
+#       max_requests_per_minute: 500
+#       max_tokens_per_minute: 1_000_000_000
+#       base_url: "https://api.deepseek.com/"
+#       invalid_finish_reasons: ['content_filter']
+#   input_ids:
+#     - sample_dataset_final
+# - id: convert_reasoning_trace_to_final
+#   config:
+#     type: function
+#     function: data_strategies.commons.convert_reasoning_trace_to_final
+#     function_config:
+#       reasoning_column: reasoning
+#       solution_column: deepseek_solution
+#       output_column: final_reasoning_trace
+#   input_ids:
+#   - annotate_r1
+# - id: convert_to_sharegpt
+#   config:
+#     type: function
+#     function: data_strategies.commons.convert_instruction_response_to_sharegpt
+#     function_config:
+#       input_instruction_column: instruction_seed
+#       input_response_column: final_reasoning_trace
+#       output_sharegpt_column: conversations
+#   input_ids:
+#     - convert_reasoning_trace_to_final