Datasets:

smilegeng
/

Wofost-Synthetic-Rice-Simulation-LK

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              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 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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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Wofost Synthetic Rice Simulation LK (TsFile)

A WOFOST 7.2 synthetic simulation dataset for paddy rice in Sri Lanka, converted to Apache TsFile format from the Hugging Face dataset SanuthK/Wofost-Synthetic-Rice-Simulation-LK.

Files

wofost_rice_lk.tsfile — 578,394 daily records across 3,250 independent simulation series.

TsFile table-model mapping

TAG (device): Season / Year / Lat / Lon / Irrigation / Nitrogen plus the synthesized replicate index. Each simulation = one device (3,250 devices in total). These 6 scenario columns are kept only as tags and are not duplicated as numeric fields.
Time: parsed from Date (YYYY-MM-DD) into INT64 milliseconds.
FIELD: DVS / LAI / Biomass / Height_cm / Yield_kgha / NDVI / NDRE / S1_VV_dB / S1_VH_dB / S1_ratio (all DOUBLE). Yield_kgha is NaN before flowering (DVS≥1) and is kept as null.

Conversion Notes

No source columns dropped: all 17 columns are retained (Date→Time, 6 scenario→tag, 10 numeric→field).
replicate is a synthesized column: the same scenario has multiple replicates (weather randomization), but the source data has no explicit replicate ID. Multiple replicates are concatenated sequentially and split at the points where Date resets, from which the replicate index is accumulated. Validation: after adding replicate, device count = 3,250 and (device, Date) is fully unique.
Conversion path: script (scripts/converters/wofost_rice_lk.py), millisecond precision.
Row count is identical before and after conversion (578,394), verified by row-count comparison + read-back validation; no dedup, no dropped rows.

On size: the original parquet is ~16 MB and the converted tsfile is ~21 MB. About 51% of the source numeric cells are NaN (before emergence/flowering); parquet uses RLE to compress these NaN runs to nearly zero, while TsFile has higher metadata overhead from per-device chunking (3,250 devices × 10 columns ≈ 32k small chunks) and weaker NaN-run compression, hence slightly larger. The data is identical in both.

Source

Original dataset: SanuthK/Wofost-Synthetic-Rice-Simulation-LK
Original author: Wanniarachchi S. K. (AgroGate Project)
Model: PCSE / WOFOST 7.2; weather: NASA POWER
License: CC-BY 4.0

Downloads last month: 85

Total file size:

21.4 MB