Update README data_files

README.md

@@ -6,25 +6,12 @@ tags:
 - tsfile
 - timeseries
 - time-series
-- format:tsfile
 pretty_name: current_velocity
 configs:
 - config_name: default
   data_files:
   - split: train
-    path: current_velocity_1.tsfile
-  - split: train
-    path: current_velocity_2.tsfile
-  - split: train
-    path: current_velocity_3.tsfile
-  - split: train
-    path: current_velocity_4.tsfile
-  - split: train
-    path: current_velocity_5.tsfile
-  - split: train
-    path: current_velocity_6.tsfile
-  - split: train
-    path: current_velocity_7.tsfile
+    path: data/current_velocity.tsfile
 ---
 
 # current_velocity (TsFile)
@@ -33,46 +20,32 @@ Apache TsFile version of the `current_velocity` sub-dataset of [`Real-TSF/TIME-P
 
 ## Overview
 
-`current_velocity` is one of the processed time-series collections bundled in TIME-ProcessedCSV, a multi-domain repository of cleaned CSV series (energy, transport, weather, finance, health and more), each with a `timestamp` column and one or more measurement columns per file.
+Converted to a single long-format TsFile table with 526,612 rows.
 
-- **Source files:** 65 CSV file(s) under `https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV/tree/main/current_velocity`
-- **Converted rows:** 3,158,208 (long format: one row per measurement)
-- **Data files:** `['current_velocity_1.tsfile', 'current_velocity_2.tsfile', 'current_velocity_3.tsfile', 'current_velocity_4.tsfile', 'current_velocity_5.tsfile', 'current_velocity_6.tsfile', 'current_velocity_7.tsfile']`
+- **Source files:** under `https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV/tree/main/current_velocity`
+- **Converted rows:** 526,612 (one row per measurement)
+- **Data files:** `data/current_velocity.tsfile`
 
 ## Schema (TsFile structure)
 
-- **Time** (INT64, milliseconds) — the source `timestamp` column.
-- **freq** (TAG) — source sampling-frequency directory (e.g. `H`, `15T`, `D`).
-- **series** (TAG) — source file stem (e.g. `item0`, `NRSROT`).
+- **time** (TIMESTAMP, milliseconds) — the source `timestamp` column.
+- **freq** (TAG) — source sampling-frequency directory (e.g. `H`, `15T`).
+- **series** (TAG) — source file stem.
 - **channel** (TAG) — source measurement column name.
 - **measurement** (FIELD, FLOAT) — the measurement value.
 
 ## Usage
 
-Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
+Install the Apache TsFile Python SDK (`pip install tsfile`) and read the file:
 
 ```python
 from pathlib import Path
 from tsfile import TsFileReader
 
-path = Path("current_velocity_1.tsfile")
+path = Path("data/current_velocity.tsfile")
 with TsFileReader(str(path)) as reader:
     schemas = reader.get_all_table_schemas()
-    print("tables:", list(schemas))
-    table_name = next(iter(schemas))
-    table = schemas[table_name]
-    columns = [column.get_column_name() for column in table.get_columns()]
-    print("columns:", columns)
-    field_names = [
-        column.get_column_name()
-        for column in table.get_columns()
-        if column.get_column_name() not in {"Time", "time"}
-    ]
-    if field_names:
-        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
-            batch = result.read_arrow_batch()
-            if batch is not None:
-                print(batch.to_pandas().head())
+    print(list(schemas))
 ```
 
 ## Source & license