Add TsFile (converted from An-j96/SuperstoreData)

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+superstore_data.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+pretty_name: "Superstore Sales POS (TsFile)"
+modality: timeseries
+authors: "An-j96"
+task_categories:
+- time-series-forecasting
+size_categories:
+- 1K<n<10K
+tags:
+- tsfile
+- timeseries
+- modality:timeseries
+- format:tsfile
+- finance
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "superstore_data.tsfile"
+---
+
+# Superstore Sales POS (TsFile)
+
+This dataset is an Apache TsFile conversion of
+[`An-j96/SuperstoreData`](https://huggingface.co/datasets/An-j96/SuperstoreData).
+
+Modalities: Time-series.
+
+## Overview
+
+- Superstore point-of-sale transactions for sales/demographics forecasting.
+- Each order records segment, category, region, ship mode, and sale metrics (`Sales`, `Quantity`, `Discount`, `Profit`).
+- Order dimensions are device TAGs; sales metrics are FIELDs.
+
+- Converted observations: 9,994 rows across 1 TsFile file(s)
+- Source format: csv
+
+## TsFile schema
+
+- **Time** — source `Order Date` (`%m/%d/%Y`), converted to INT64 milliseconds.
+
+| Column | Role | Type | Meaning |
+|---|---|---|---|
+| `Time` | TIME | INT64 (ms) | sample timestamp |
+| `Row_ID` | TAG | STRING | order id |
+| `Segment` | TAG | STRING | customer segment |
+| `Category` | TAG | STRING | product category |
+| `Region` | TAG | STRING | region |
+| `Ship_Mode` | TAG | STRING | shipping mode |
+| `Sales` | FIELD | FLOAT | sales amount |
+| `Quantity` | FIELD | FLOAT | quantity |
+| `Discount` | FIELD | FLOAT | discount |
+| `Profit` | FIELD | FLOAT | profit |
+
+## Conversion notes
+
+- `Row_ID`, `Segment`, `Category`, `Region`, `Ship_Mode` kept as TAGs; `Sales`/`Quantity`/`Discount`/`Profit` as FLOAT/INT64 FIELDs.
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/An-j96/SuperstoreData
+- Author / publisher: An-j96
+- License: gpl-2.0
+
+## Usage
+
+Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
+
+```python
+from pathlib import Path
+from tsfile import TsFileReader
+
+path = Path("superstore_data.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())
+```

superstore_data.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e450f8e1ba2ccc6fac9c331490328715d2bcf93cdf89d2bf9ee59887decbfe92
+size 6029087