Add TsFile (converted from jettisonthenet/timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15)

.gitattributes

@@ -58,3 +58,5 @@ 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
+youtube_trending_2019_2020_1.tsfile filter=lfs diff=lfs merge=lfs -text
+youtube_trending_2019_2020_2.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,73 @@
----
-license: apache-2.0
----
+# youtube_trending_2019_2020
+
+This repository contains a TsFile conversion of the Hugging Face dataset
+[`jettisonthenet/timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15`](https://huggingface.co/datasets/jettisonthenet/timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15).
+
+The source dataset card / Viewer identifies the dataset as a YouTube trending
+video time-series dataset. The source repository contains `videostats.csv` and
+the Hugging Face Viewer exposes the `default/train` split with about 1.54M rows.
+The locally downloaded source file used for this conversion contains 1,541,128
+rows.
+
+## Original Dataset
+
+- Original dataset: <https://huggingface.co/datasets/jettisonthenet/timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15>
+- Source file used for conversion: `videostats.csv`
+- Split used: `train`
+- Local downloaded rows: 1,541,128
+- Distinct `ytvideoid` values in the downloaded file: 11,369
+- Time range in the downloaded file: `2019-04-15 04:42:49` to `2020-04-14 23:31:06`
+
+The original columns are:
+
+| Column | Description used in this conversion |
+|---|---|
+| `videostatsid` | Source row/statistics identifier |
+| `ytvideoid` | YouTube video identifier |
+| `views` | View count |
+| `comments` | Comment count |
+| `likes` | Like count |
+| `dislikes` | Dislike count |
+| `timestamp` | Source timestamp |
+
+The source dataset does not contain video files, frames, audio, thumbnails, or
+other media binaries. `ytvideoid` is an identifier only.
+
+## TsFile Conversion
+
+The conversion was performed from the source CSV into staged Parquet and then
+into TsFile using the repository workflow.
+
+Generated files:
+
+- `youtube_trending_2019_2020_1.tsfile`
+- `youtube_trending_2019_2020_2.tsfile`
+
+Schema-level conversion choices:
+
+- `timestamp` was parsed into the TsFile `Time` column at millisecond precision.
+- The original timestamp value was preserved as `source_timestamp_ms`.
+- `ytvideoid` was declared as a TAG, so each YouTube video ID is represented as
+  a separate device series.
+- `views`, `comments`, `likes`, and `dislikes` were retained as `INT64` fields.
+- `videostatsid` was retained as an `INT64` field for traceability.
+- No original source columns were dropped.
+
+Duplicate timestamp handling:
+
+The source CSV contains 89 duplicate `(ytvideoid, timestamp)` pairs. TsFile
+requires timestamps within one device series to be unique/ordered for reliable
+import. For those duplicate pairs only, the converted `Time` value was
+disambiguated by adding a zero-based millisecond offset ordered by
+`videostatsid`. The unadjusted source timestamp remains available in
+`source_timestamp_ms`.
+
+## Validation
+
+The staged Parquet file contains:
+
+- 1,541,128 rows
+- 11,369 distinct `ytvideoid` tag values
+- 0 duplicate `(ytvideoid, Time)` pairs after conversion
+
+Both generated `.tsfile` files were validated locally as present and non-empty.

youtube_trending_2019_2020_1.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d8b01f42b8e35a3e7fc7af11d36f5268a329ce74fd100a25283da32da68ca50
+size 59420875

youtube_trending_2019_2020_2.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c4d2d4d9012f6b0afb0037f68af4dae3c9ef81d6764f2936c1446b6619e3269
+size 27901247