Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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.

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.

Wofost Synthetic Rice Simulation LK (TsFile)

斯里兰卡水稻 WOFOST 7.2 合成模拟数据集,从 HuggingFace 数据集 SanuthK/Wofost-Synthetic-Rice-Simulation-LK 转换为 Apache TsFile 格式。

文件

  • wofost_rice_lk.tsfile —— 578,394 条日records,3,250 条独立模拟序列。

TsFile 表模型映射

  • TAG(device)Season / Year / Lat / Lon / Irrigation / Nitrogen + 合成的 replicate 序号。每条 simulation = 一个 device(共 3,250 个)。这 6 个 scenario 列仅作 tag,不重复存为数值 field。
  • Time:由 Date(YYYY-MM-DD)解析为 INT64 毫秒。
  • FIELDDVS / LAI / Biomass / Height_cm / Yield_kgha / NDVI / NDRE / S1_VV_dB / S1_VH_dB / S1_ratio(均为 DOUBLE)。Yield_kgha 在开花(DVS≥1)前为 NaN,保留为 null。

转换说明

  • 未丢弃任何源列:17 列全部保留(Date→Time,6 个 scenario→tag,10 个数值→field)。
  • replicate 为合成列:同一 scenario 有多个 replicate(天气随机化),但原数据无显式 replicate ID。多个 replicate 顺序拼接,在 Date 回退处分界,据此累计出 replicate 序号。 验证:加上 replicate 后 device 数 = 3,250,(device, Date) 完全唯一。
  • 转换路径:scriptscripts/converters/wofost_rice_lk.py),时间精度 ms
  • 行数转换前后一致(578,394),已通过行数比对 + 读回校验,无去重、无丢行。

关于体积:原始 parquet 约 16 MB,转换后 tsfile 约 21 MB。源数据约 51% 的数值单元为 NaN(出苗/开花前),parquet 用 RLE 把这些 NaN 游程压到近乎为零;TsFile 因按 device 切分 (3,250 个 device × 10 列 ≈ 3.2 万个小 chunk)元数据开销较高、对 NaN 游程压缩较弱,故略大。 两者数据完全一致。

来源

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