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.

SafeLeak-RCD — TsFile 格式

本仓库是 SafeLeak-RCD: Residential Residual Current Decomposition Benchmark (住宅剩余电流分解基准,单相电气安全监测 / NILM)转换为 TsFile 格式的版本。

  • 原始数据集haayan/safeleak-rcd
  • 论文Physics-Regularized Conditional Flow Matching for Branch-Conditioned Residual Current Decomposition in Electrical Safety Monitoring
  • 许可证:CC-BY-NC-4.0(沿用原数据集)

任务

给定:聚合剩余电流(total_residual_current)、聚合有功功率(total_power)、目标支路的功率提示, 预测该选定支路的剩余电流。单相住宅、12 条支路、1 分钟目标间隔、7 个实体级面板, 实体级互斥划分 train/validation/test = 5/1/1。

文件

转换保留了原 benchmark 的三划分结构 —— 一个 CSV 对应一个 TsFile

文件 行数 device(segment_id)数
train.tsfile 104,835 15(5 实体 × {base, variant_1, variant_2})
validation.tsfile 7,091 1
test.tsfile 11,991 1

validation/test 仅含真实观测(synthetic_variant=0);train 含合成增强变体。

TsFile 结构

  • **TAG(device 维度)= segment_id**。同一实体的 base 与 2 个合成变体共用同一条时间轴, 实测 (segment_id, timestamp) 唯一无重复,而 (entity_id, timestamp) 在 train 里有约 7 万重复, 因此用 segment_id 作 device 才能保证每个 device 内时间单调递增。
  • Time:由原始 timestamp2024-08-01 00:10:00 文本,1 分钟间隔)解析为 INT64 毫秒。
  • FIELD(共 28 列)
    • total_residual_current, total_power(DOUBLE)
    • branch_1_power / branch_1_currentbranch_12_power / branch_12_current(共 24 列,DOUBLE)
    • synthetic_variant(INT64,0=真实 base,1/2=合成变体)
    • entity_id(STRING,所属实体)

转换说明

  • 转换路径:scriptscripts/converters/safeleak_rcd.py),写出全程用 TsFile Java 工具的 schema 模式。
  • 时间精度:ms
  • 被丢弃的列:原始 timestamp 文本列在解析为 Time(INT64 毫秒)后丢弃,时间信息完整保留, 仅格式由字符串变为毫秒整数。除此之外不丢弃任何列。
  • 仅转换了默认 config benchmark_split 的三个 CSV。原仓库的 processed_entities/ 逐实体包(base/variant/combined)与 benchmark 数据重叠,本次未转换。

读取示例

from tsfile import TsFileReader
reader = TsFileReader("train.tsfile")
for name, schema in reader.get_all_table_schemas().items():
    print(name, [c.get_column_name() for c in schema.get_columns()])
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