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config/embedding_apply_codefeedback.yaml

@@ -118,37 +118,37 @@ operators:
       num_samples: 1_000_000
   input_ids:
   - calc_embeddings_glaive
-# - id: calc_embedding_difference_glaive
-#   config:
-#     type: high_memory_function
-#     memory: 300
-#     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_glaive
-#   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_glaive
-# - id: sample_dataset_glaive
-#   config:
-#     type: function
-#     function: data_strategies.commons.uniform_sample_fixed
-#     function_config:
-#       num_samples: 4_000
-#   input_ids:
-#   - select_to_be_used_glaive
+- id: calc_embedding_difference_glaive
+  config:
+    type: high_memory_function
+    memory: 300
+    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_glaive
+  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_glaive
+- id: sample_dataset_glaive
+  config:
+    type: function
+    function: data_strategies.commons.uniform_sample_fixed
+    function_config:
+      num_samples: 4_000
+  input_ids:
+  - select_to_be_used_glaive