Datasets:
The dataset viewer is not available for this subset.
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.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.
Comoros: Rainfall Indicators at Subnational Level | Africa (original) (TsFile)
Apache TsFile version of electricsheepafrica/africa-com-rainfall-subnational.
Overview
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
- Tables: 1 TsFile table(s), 30,970 rows in total.
africa_com_rainfall: 30,970 rows, 1981-01-01 00:00:00 鈫?2026-04-01 00:00:00.018000 (UTC)
Schema (TsFile structure)
africa_com_rainfall.tsfile
- Time (INT64, milliseconds) 鈥?the source
datecolumn. - TAG: none 鈥?the table is stored as a single device.
- FIELD (16):
adm_level(int64),adm_id(int64),pcode(string),n_pixels(double),rfh(double),rfh_avg(double),r1h(double),r1h_avg(double),r3h(double),r3h_avg(double),rfq(double),r1q(double),r3q(double),version(string),esa_source(string),esa_processed(string)
Conversion notes
- One TsFile per source table (1 tables). Tables whose source carries several entities per file are stored as one device per entity.
- Time = the table's own clock column as INT64 milliseconds. The clock columns used here are
date. - No column is dropped. Rows that share a timestamp inside one device are ordered by a 1 ms step in stable source order, so calendar columns keep their exact day.
Usage
Read this dataset with the Java SDK. It is written with the
zstdcompressor. The Apache TsFile Java SDK reads every compressor, but the Python SDK (pip install tsfile) implements onlyUNCOMPRESSED,SNAPPY,GZIPandLZ4; opening this file with it yields no rows.
Read a converted file with the Apache TsFile Java SDK (org.apache.tsfile:tsfile):
import org.apache.tsfile.file.metadata.IDeviceID;
import org.apache.tsfile.read.TsFileReader;
import org.apache.tsfile.read.TsFileSequenceReader;
import org.apache.tsfile.read.common.Path;
import org.apache.tsfile.read.expression.QueryExpression;
import org.apache.tsfile.read.query.dataset.QueryDataSet;
import org.apache.tsfile.write.schema.MeasurementSchema;
import java.util.ArrayList;
import java.util.List;
String path = "africa_com_rainfall.tsfile";
try (TsFileSequenceReader sequenceReader = new TsFileSequenceReader(path);
TsFileReader reader = new TsFileReader(sequenceReader)) {
// Devices are enumerated as IDeviceID objects. Tables with TAG columns
// have multi-segment device ids that cannot be rebuilt from their string
// form, so always use getAllDevices() rather than getAllDeviceIds().
for (IDeviceID device : sequenceReader.getAllDevices()) {
List<Path> paths = new ArrayList<>();
for (MeasurementSchema schema : reader.getMeasurement(device)) {
String name = schema.getMeasurementName();
if (name != null && !name.isEmpty() && !name.equalsIgnoreCase("Time")) {
paths.add(new Path(device, name, true));
}
}
QueryDataSet dataSet = reader.query(QueryExpression.create(paths, null));
while (dataSet.hasNext()) {
System.out.println(dataSet.next());
}
}
}
Source & license
- Original dataset:
electricsheepafrica/africa-com-rainfall-subnational - Source card title: Comoros: Rainfall Indicators at Subnational Level | Africa (original)
- License: cc-by-4.0 (as declared by the original dataset).
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