Add TsFile (converted from ronantakizawa/github-top-projects)

.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_projects.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,71 @@
+---
+license: mit
+task_categories:
+- time-series-forecasting
+tags:
+- tsfile
+- timeseries
+- time-series
+- github
+- trending
+- repositories
+- software-engineering
+- popularity
+- format:tsfile
+pretty_name: GitHub Trending Projects (TsFile)
+size_categories:
+- 100K<n<1M
+---
+
+# GitHub Trending Projects (TsFile)
+
+Apache TsFile version of [`ronantakizawa/github-top-projects`](https://huggingface.co/datasets/ronantakizawa/github-top-projects).
+
+## Overview
+
+423,098 GitHub trending repository entries spanning 12+ years (August 2013 –
+November 2025), scraped from Wayback Machine snapshots of GitHub's trending page.
+Captures the evolution of trending repositories over time — software development
+trends across languages and domains, and popular open-source projects. Multiple
+intra-day snapshots per repository are collapsed to the latest snapshot per day.
+
+## Schema (TsFile structure)
+
+- **Time** (INT64, milliseconds) — the snapshot date.
+- **repo_owner** / **name** (TAG) — the repository (device dimension).
+- **star_count** / **fork_count** (FIELD, FLOAT).
+- **rank** (FIELD, INT64) — the daily rank.
+
+## 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_projects.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/ronantakizawa/github-top-projects
+- Author / publisher: ronantakizawa
+- License: MIT

github_top_projects.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8963ba14aea344dfa60a00480cf2351d34a9853f142cca12905c2c5600c2b03
+size 7293214