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andrewsleader
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TGB

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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 ({'head', 'timestamp', 'tail'}) and 5 missing columns ({'num_words', 'score', 'dst', 'ts', 'src'}).

This happened while the csv dataset builder was generating data using

hf://datasets/andrewsleader/TGB/thgl-github/thgl-github_edgelist.csv (at revision 6da4cf24684ac76d4caa0058e5ab4bf0214d1c79)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              timestamp: int64
              head: int64
              tail: int64
              relation_type: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 711
              to
              {'ts': Value(dtype='int64', id=None), 'src': Value(dtype='int64', id=None), 'dst': Value(dtype='int64', id=None), 'relation_type': Value(dtype='int64', id=None), 'num_words': Value(dtype='int64', id=None), 'score': Value(dtype='int64', id=None)}
              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 1324, 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 938, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 ({'head', 'timestamp', 'tail'}) and 5 missing columns ({'num_words', 'score', 'dst', 'ts', 'src'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/andrewsleader/TGB/thgl-github/thgl-github_edgelist.csv (at revision 6da4cf24684ac76d4caa0058e5ab4bf0214d1c79)
              
              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)

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ts
int64
src
int64
dst
int64
relation_type
int64
num_words
int64
score
int64
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End of preview.

TGB logo

TGB 2.0

Overview of the Temporal Graph Benchmark (TGB) pipeline:

  • TGB includes large-scale and realistic datasets from five different domains with both dynamic link prediction and node property prediction tasks.
  • TGB automatically downloads datasets and processes them into numpy, PyTorch and PyG compatible TemporalData formats.
  • Novel TG models can be easily evaluated on TGB datasets via reproducible and realistic evaluation protocols.
  • TGB provides public and online leaderboards to track recent developments in temporal graph learning domain.
pip install py-tgb

Links and Datasets

The project website can be found here.

The API documentations can be found here.

all dataset download links can be found at info.py

TGB dataloader will also automatically download the dataset as well as the negative samples for the link property prediction datasets.

if website is unaccessible, please use this link instead.

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