Add TsFile (converted from xpertsystems/hc01-t2d-sample)

README.md

@@ -1,10 +1,13 @@
 ---
 license: cc-by-nc-4.0
+task_categories:
+- time-series-forecasting
 tags:
 - tsfile
 - timeseries
-- format:tsfile
 - time-series
+- format:tsfile
+pretty_name: hc01_t2d_sample
 configs:
 - config_name: default
   data_files:
@@ -116,26 +119,15 @@ configs:
     path: population_summary_8.tsfile
 ---
 
-# hc01_t2d_sample
-
-Converted from the Hugging Face dataset [`xpertsystems/hc01-t2d-sample`](https://huggingface.co/datasets/xpertsystems/hc01-t2d-sample) to Apache TsFile format.
-
-## Source Dataset
+# hc01_t2d_sample (TsFile)
 
-- **Original dataset:** [`xpertsystems/hc01-t2d-sample`](https://huggingface.co/datasets/xpertsystems/hc01-t2d-sample)
-- **Authors:** xpertsystems
-- **License:** cc-by-nc-4.0
+Apache TsFile version of [`xpertsystems/hc01-t2d-sample`](https://huggingface.co/datasets/xpertsystems/hc01-t2d-sample).
 
-## Conversion Notes
-
-- Conversion mode: `script`
-- Time precision: `ms`
-- TsFile data files: `['complications_1.tsfile', 'complications_2.tsfile', 'complications_3.tsfile', 'complications_4.tsfile', 'complications_5.tsfile', 'complications_6.tsfile', 'complications_7.tsfile', 'complications_8.tsfile', 'complications_9.tsfile', 'encounters_1.tsfile', 'encounters_2.tsfile', 'encounters_3.tsfile', 'encounters_4.tsfile', 'encounters_5.tsfile', 'encounters_6.tsfile', 'encounters_7.tsfile', 'encounters_8.tsfile', 'encounters_9.tsfile', 'labs_1.tsfile', 'labs_2.tsfile', 'labs_3.tsfile', 'labs_4.tsfile', 'labs_5.tsfile', 'labs_6.tsfile', 'labs_7.tsfile', 'labs_8.tsfile', 'labs_9.tsfile', 'medications_1.tsfile', 'medications_2.tsfile', 'medications_3.tsfile', 'medications_4.tsfile', 'medications_5.tsfile', 'medications_6.tsfile', 'medications_7.tsfile', 'medications_8.tsfile', 'medications_9.tsfile', 'patient_master_1.tsfile', 'patient_master_2.tsfile', 'patient_master_3.tsfile', 'patient_master_4.tsfile', 'patient_master_5.tsfile', 'patient_master_6.tsfile', 'patient_master_7.tsfile', 'patient_master_8.tsfile', 'patient_master_9.tsfile', 'population_summary_1.tsfile', 'population_summary_2.tsfile', 'population_summary_3.tsfile', 'population_summary_4.tsfile', 'population_summary_5.tsfile', 'population_summary_6.tsfile', 'population_summary_7.tsfile', 'population_summary_8.tsfile']`
-- Converter: `scripts/converters/multi_table_scalar.py`
+- **Converted rows:** 59,694
+- **Data files:** `['complications_1.tsfile', 'complications_2.tsfile', 'complications_3.tsfile', 'complications_4.tsfile', 'complications_5.tsfile', 'complications_6.tsfile', 'complications_7.tsfile', 'complications_8.tsfile', 'complications_9.tsfile', 'encounters_1.tsfile', 'encounters_2.tsfile', 'encounters_3.tsfile', 'encounters_4.tsfile', 'encounters_5.tsfile', 'encounters_6.tsfile', 'encounters_7.tsfile', 'encounters_8.tsfile', 'encounters_9.tsfile', 'labs_1.tsfile', 'labs_2.tsfile', 'labs_3.tsfile', 'labs_4.tsfile', 'labs_5.tsfile', 'labs_6.tsfile', 'labs_7.tsfile', 'labs_8.tsfile', 'labs_9.tsfile', 'medications_1.tsfile', 'medications_2.tsfile', 'medications_3.tsfile', 'medications_4.tsfile', 'medications_5.tsfile', 'medications_6.tsfile', 'medications_7.tsfile', 'medications_8.tsfile', 'medications_9.tsfile', 'patient_master_1.tsfile', 'patient_master_2.tsfile', 'patient_master_3.tsfile', 'patient_master_4.tsfile', 'patient_master_5.tsfile', 'patient_master_6.tsfile', 'patient_master_7.tsfile', 'patient_master_8.tsfile', 'patient_master_9.tsfile', 'population_summary_1.tsfile', 'population_summary_2.tsfile', 'population_summary_3.tsfile', 'population_summary_4.tsfile', 'population_summary_5.tsfile', 'population_summary_6.tsfile', 'population_summary_7.tsfile', 'population_summary_8.tsfile']`
 
 ## Usage
 
-
 Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
 
 ```python
@@ -160,4 +152,9 @@ with TsFileReader(str(path)) as reader:
             batch = result.read_arrow_batch()
             if batch is not None:
                 print(batch.to_pandas().head())
-```
+```
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/xpertsystems/hc01-t2d-sample
+- License: cc-by-nc-4.0