Datasets:

THULab
/

ree_data

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 364, in tsfile.tsfile_reader.TsFileReaderPy.__init__
                File "tsfile/tsfile_reader.pyx", line 367, in tsfile.tsfile_reader.TsFileReaderPy.init_reader
                File "tsfile/tsfile_py_cpp.pyx", line 789, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
                File "tsfile/tsfile_py_cpp.pyx", line 55, in tsfile.tsfile_py_cpp.check_error
              tsfile.exceptions.FileOpenError: 28: Failed to open file
              
              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/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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REE Iberian Peninsula Electricity Generation (2008–2026) (TsFile)

Apache TsFile version of daniel-dona/ree-data.

Overview

Electricity demand and generation by source for the Iberian Peninsula, sourced from REE (Red Eléctrica de España). Covers 2008–present at 5-minute resolution, fully deduplicated.

Tables: ree_data
Rows: 1,931,443 across 1 TsFile table(s).
- ree_data: 1,931,443 rows, 2007-12-31 21:00:00 → 2026-05-14 11:15:00 (UTC)

Schema (TsFile structure)

`ree_data.tsfile`

Time (INT64, milliseconds) — the source ts timestamp as INT64 milliseconds.
TAG: none — the table is a single device / single series.
FIELD (37): dem (int64), eol (int64), nuc (int64), gf (int64), car (int64), cc (int64), hid (int64), aut (int64), inter (int64), icb (int64), sol (int64), solFot (int64), solTer (int64), termRenov (int64), cogenResto (int64), expAnd (int64), expMar (int64), expPor (int64), expFra (int64), expTot (int64), impFra (int64), impPor (int64), impMar (int64), impAnd (int64), impTot (int64), conb (int64), turb (int64), gnhd (int64), bat (int64), consBat (int64), dif (int64), vap (int64), year (int32), month (int32), day (int32), hour (int32), date (string)

Conversion notes

The source is a single train split stored as two Parquet shards; both shards are concatenated into the single TsFile ree_data.tsfile (the split is preserved, not mixed with any other split).
Time is the source ts timestamp (hourly, Spanish peninsular time) as INT64 milliseconds. The redundant calendar columns year/month/day/hour/date are kept as FIELDs.
Single device (the Spanish peninsular system), no TAG column; all 38 source columns kept.

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("ree_data_1.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())

Source & license

Original dataset: daniel-dona/ree-data
Source card title / publisher: REE Iberian Peninsula Electricity Generation (2008–2026)
License: cc-by-4.0 (as declared by the original dataset).

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Total file size:

27.5 MB