Add TsFile (converted from diamond-in/github-top-developers)

.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
+github_top_developers.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+task_categories:
+- time-series-forecasting
+tags:
+- tsfile
+- timeseries
+- time-series
+- format:tsfile
+pretty_name: github_top_developers
+size_categories:
+- 10K<n<100K
+---
+
+# github_top_developers (TsFile)
+
+Apache TsFile version of [`diamond-in/github-top-developers`](https://huggingface.co/datasets/diamond-in/github-top-developers).
+
+- **Records:** 39,390
+
+## Schema (TsFile structure)
+
+- **name** (TAG) — device dimension(s).
+- **name** (FIELD).
+- **rank** (FIELD).
+
+## 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("github_top_developers.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())
+```
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/diamond-in/github-top-developers
+- Author / publisher: diamond-in
+- License: mit

github_top_developers.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d041da0108fa54c854ce82738f36740d0fa2b25213d9be08d2ad7a35ef4e71c4
+size 1393008