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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'locale', 'item_idx', 'popularity_group'}) and 1 missing columns ({'mapped_u'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset/amazon/paper_item_metadata.csv (at revision af983dcbb23486c2a2cf57831910a04392c5a80b), [/tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_interactions_5core.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_interactions_5core.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_item_metadata.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_item_metadata.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_interactions_5core.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_interactions_5core.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_item_metadata.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_item_metadata.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_interactions_5core.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_interactions_5core.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_item_metadata.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_item_metadata.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              item_idx: int64
              mapped_i: int64
              locale: string
              popularity_group: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 733
              to
              {'mapped_u': Value('int64'), 'mapped_i': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'locale', 'item_idx', 'popularity_group'}) and 1 missing columns ({'mapped_u'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset/amazon/paper_item_metadata.csv (at revision af983dcbb23486c2a2cf57831910a04392c5a80b), [/tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_interactions_5core.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_interactions_5core.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_item_metadata.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/amazon/paper_item_metadata.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_interactions_5core.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_interactions_5core.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_item_metadata.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/steam/paper_item_metadata.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_interactions_5core.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_interactions_5core.csv), /tmp/hf-datasets-cache/medium/datasets/71689633692052-config-parquet-and-info-Xsb8864-Culture-SupCon-Re-b6a31621/hub/datasets--Xsb8864--Culture-SupCon-Rec-Dataset/snapshots/af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_item_metadata.csv (origin=hf://datasets/Xsb8864/Culture-SupCon-Rec-Dataset@af983dcbb23486c2a2cf57831910a04392c5a80b/yelp/paper_item_metadata.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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End of preview.

Culture-SupCon Multi-Modal Recommendation Dataset

This dataset contains the processed 5-core interaction graphs and pre-extracted multi-modal features for the paper "Your Paper Title".

Dataset Structure

Amazon-XLocale (Abo)

paper_interactions_5core.csv: User-Item interactions.
paper_item_metadata.csv: Item metadata including locale (Country) as Cultural Priors.
paper_text_feats.npy: 1024-dim text embeddings extracted via BGE-M3.
paper_vision_feats.npy: 4096-dim vision embeddings extracted via InternVL2.5-8B.

Yelp

paper_interactions_5core.csv: User-Item interactions.
paper_item_metadata.csv: Item metadata including locale (City) as Cultural Priors.
paper_text_feats.npy: 1024-dim text embeddings extracted via BGE-M3.
paper_vision_feats.npy: 4096-dim vision embeddings extracted via InternVL2.5-8B.

Steam

paper_interactions_5core.csv: User-Item interactions.
paper_item_metadata.csv: Item metadata including locale (Tags) as Cultural Priors.
paper_text_feats.npy: 1024-dim text embeddings extracted via BGE-M3.
paper_vision_feats.npy: 4096-dim vision embeddings extracted via InternVL2.5-8B.

How to Load in PyTorch

import numpy as np
vision_feats = np.load("yelp/paper_vision_feats.npy")
print(vision_feats.shape) # (33719, 4096)

Downloads last month: 9

Total file size:

2.92 GB

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