Datasets:

flavianv
/

deepshopper-mapper-reward-splits

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<kind: string, row_index: int64, chain_id: string, user_id: string, num_items: int64, product_ids: list<item: string>, score: int64>
to
{'dataset': Value('string'), 'task_type': Value('string'), 'source_row_index': Value('int64'), 'generated_query': Value('string'), 'occasion': Value('string'), 'gender': Value('string'), 'age_range': Value('string'), 'style': Value('string'), 'palette': Value('string'), 'print': Value('string'), 'main_role': Value('string'), 'main_role_material': Value('string'), 'roles': List(Value('string')), 'prompt_fields': {'age': Value('bool'), 'style': Value('bool'), 'num_items': Value('bool'), 'roles': Value('bool')}, 'prompt_field_probabilities': {'age': Value('float64'), 'style': Value('float64'), 'num_items': Value('float64'), 'roles': Value('float64')}, 'outfit': List({'item_id': Value('string'), 'role': Value('string'), 'item': Value('string'), 'label': Value('string'), 'source_part': Value('string')}), 'source': {'dataset': Value('string'), 'task': Value('string'), 'source': Value('string'), 'key': Value('string'), 'uid': Value('string'), 'oid': Value('string'), 'partial_item_ids': List(Value('string')), 'target_item_ids': List(Value('string')), 'source_tar': Value('string'), 'source_member': Value('string')}, 'teacher': {'reason': Value('string'), 'raw_response': Value('string'), 'latency_s': Value('float64'), 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens_details': Value('null'), 'prompt_tokens_details': Value('null')}}}
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<kind: string, row_index: int64, chain_id: string, user_id: string, num_items: int64, product_ids: list<item: string>, score: int64>
              to
              {'dataset': Value('string'), 'task_type': Value('string'), 'source_row_index': Value('int64'), 'generated_query': Value('string'), 'occasion': Value('string'), 'gender': Value('string'), 'age_range': Value('string'), 'style': Value('string'), 'palette': Value('string'), 'print': Value('string'), 'main_role': Value('string'), 'main_role_material': Value('string'), 'roles': List(Value('string')), 'prompt_fields': {'age': Value('bool'), 'style': Value('bool'), 'num_items': Value('bool'), 'roles': Value('bool')}, 'prompt_field_probabilities': {'age': Value('float64'), 'style': Value('float64'), 'num_items': Value('float64'), 'roles': Value('float64')}, 'outfit': List({'item_id': Value('string'), 'role': Value('string'), 'item': Value('string'), 'label': Value('string'), 'source_part': Value('string')}), 'source': {'dataset': Value('string'), 'task': Value('string'), 'source': Value('string'), 'key': Value('string'), 'uid': Value('string'), 'oid': Value('string'), 'partial_item_ids': List(Value('string')), 'target_item_ids': List(Value('string')), 'source_tar': Value('string'), 'source_member': Value('string')}, 'teacher': {'reason': Value('string'), 'raw_response': Value('string'), 'latency_s': Value('float64'), 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens_details': Value('null'), 'prompt_tokens_details': Value('null')}}}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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task_type string	messages list	source dict	source_row_number int64
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 11, "generated_query": "A minimalist women's everyday look for an adult in grey and black with a whimsical jewelry accent", "occasion": "everyday wea...	11
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 6, "generated_query": "A sophisticated women's evening look for an adult in cream and red with geometric accents", "occasion": "evening", "gender...	6
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 24, "generated_query": "A modern men's casual going-out look for an adult in black, gray, and red with patterned accents", "occasion": "going out", ...	24
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 8, "generated_query": "A bold women's casual day look for an adult in black, white, and metallic accents", "occasion": "casual day", "gender": "w...	8
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 1, "generated_query": "A classic women's work look for an adult in camel, black, and beige neutrals with a ribbed pattern", "occasion": "work", "...	1
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 30, "generated_query": "A casual women's outfit for an adult in warm autumn tones with a striped pattern", "occasion": "casual day", "gender": "w...	30
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 31, "generated_query": "A casual young adult women's outfit for a relaxed day out in light blue and black with a fun graphic print", "occasion": "cas...	31
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 27, "generated_query": "A casual tropical-inspired outfit for a young adult woman for a beach day in navy, orange, green, and white with a tropical print...	27
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 13, "generated_query": "A casual oversized striped sweatshirt look for a young adult woman in blue, white, and red with light blue denim wide-leg jumpsui...	13
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 15, "generated_query": "A chic casual day look for an adult woman in dark brown and black with a white top and satin accents", "occasion": "casual da...	15
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 9, "generated_query": "A casual women's everyday look for an adult in dark gray and blue with a floral pattern", "occasion": "casual day", "gende...	9
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 2, "generated_query": "A sophisticated women's evening look for an adult in white, gold, and dark blue with metallic accents", "occasion": "evening",...	2
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 20, "generated_query": "a casual off-white and light blue knit-and-jeans outfit for an adult woman with a relaxed, textured look", "occasion": "casua...	20
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 29, "generated_query": "A sophisticated women's evening look for an adult in black and white with textured accents", "occasion": "evening", "gend...	29
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 0, "generated_query": "A plaid winter casual look for an adult woman in black, gray, and white with a mix of textures and a quilted accent", "occasio...	0
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 4, "generated_query": "A casual young adult women's summer look in pink and grey with white accents", "occasion": "casual day", "gender": "woman"...	4
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 19, "generated_query": "A classic Korean-style autumn look for an adult woman in cream, yellow, and light brown with faux fur and suede accents", "oc...	19
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 26, "generated_query": "A feminine spring going-out look for an adult woman in white with floral and gray accents", "occasion": "going out", "gen...	26
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 25, "generated_query": "A casual adult women's going-out look in beige, black, and purple with striped accents", "occasion": "going out", "gender...	25
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 7, "generated_query": "An elegant evening look for an adult woman in deep green and gold with a luxurious velvet dress and vintage accessories", "occ...	7
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 21, "generated_query": "A polished women's evening look for an adult in light blue and black with subtle pattern accents", "occasion": "evening", ...	21
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 28, "generated_query": "A casual off-the-shoulder outfit for an adult woman in light blue and white with gold accents", "occasion": "casual day", ...	28
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 16, "generated_query": "A classic men's casual look for an adult in white and blue plaid with metallic accents", "occasion": "casual day", "gende...	16
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 5, "generated_query": "A polished women's evening look for an adult in tan, olive green, and gold metallic accents", "occasion": "evening", "gend...	5
task1_create_outfit_retrieval_mapper	[ { "role": "system", "content": "You are DeepShopper Mapper, a cross-catalog outfit planner.\n\nGiven an outfit task, return only JSON. Do not mention search or retrieval.\n\nThe JSON must have this shape:\n{\n \"num_items\": <integer>,\n \"reasoning\": \"<short explanation of the outfit>\",\n \"outfit\":...	{ "source_task_type": "task1_create_outfit", "source": { "dataset": "Anony100/FashionRec", "task_type": "task1_create_outfit", "source_row_index": 12, "generated_query": "A casual winter outdoor look for an adult man in black and tan neutrals with functional details", "occasion": "winter day", ...	12

End of preview.

DeepShopper frozen splits (mapper / reward)

Deterministic, leakage-safe train/test splits used across DeepShopper. Split assignment is a stable sha1(need) hash (same need never crosses train/test; reproducible). Gender-stratified. Contains: fashionrec_task1_mapper/{train,test}, amz_mapper/{female,male,other}.{train,test} (need→plan), and amz_reward_bundle/{female,male,other}.{train,test} (need→outfit, reward positives). Generated by scripts/make_mapper_reward_splits.py. Code: https://github.com/clijo/reco-rl (branch outfit_bundle).

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