Use neutral data split and filename for subreddit directory

README.md

@@ -14,7 +14,7 @@ tags:
 configs:
   - config_name: default
     data_files:
-      - split: train
+      - split: data
         path: data/*.parquet
 ---
 
@@ -28,7 +28,7 @@ The dataset contains **395,018 rows and 12 columns** of subreddit names, descrip
 
 ## Data and preservation
 
-The single file `data/train-00000-of-00001.parquet` uses Zstandard compression and is 183,178,103 bytes (approximately 183 MB). The `train` split contains the entire table; it is a loading convention, not an assignment of this data to model training or a train/test partition.
+The single file `data/data.parquet` uses Zstandard compression and is 183,178,103 bytes (approximately 183 MB). The `data` split contains the entire table. It is a general-purpose directory of subreddit metadata, with no predefined task or evaluation partition.
 
 All original column names, parsed cell values, row order, and column order are preserved. No rows were filtered, deduplicated, added, or reordered. No descriptions were rewritten, combined, trimmed, or filled in. Existing rules and other auxiliary columns are retained.
 
@@ -58,7 +58,7 @@ The conversion was verified by comparing **every cell of every row** with the or
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("semvec/subreddits-directory", split="train")
+dataset = load_dataset("semvec/subreddits-directory", split="data")
 print(dataset.column_names)
 print(dataset[0])
 ```
@@ -67,7 +67,7 @@ For incremental reading:
 
 ```python
 dataset = load_dataset(
-    "semvec/subreddits-directory", split="train", streaming=True
+    "semvec/subreddits-directory", split="data", streaming=True
 )
 row = next(iter(dataset))
 ```
@@ -79,7 +79,7 @@ Consumers can explicitly parse numeric or date columns for their own analysis. N
 Download directly from this repository with the Hugging Face CLI:
 
 ```bash
-hf download semvec/subreddits-directory data/train-00000-of-00001.parquet --repo-type dataset --local-dir subreddits-directory
+hf download semvec/subreddits-directory data/data.parquet --repo-type dataset --local-dir subreddits-directory
 ```
 
 The repository also includes `convert.py`, the CSV-to-Parquet conversion and validation script used to prepare this edition. It is not needed to load or download the dataset.

conversion-manifest.json

@@ -4,7 +4,7 @@
   "source_bytes": 397566769,
   "source_sha256": "a449ece09a2115e8eba670a0d00cc0cca734b4b3d85d289dcd5f6f2becd833b1",
   "source_license_identifier": "reddit-api",
-  "parquet_file": "data/train-00000-of-00001.parquet",
+  "parquet_file": "data/data.parquet",
   "parquet_bytes": 183178103,
   "parquet_sha256": "20cd09b4fed1c12bd316574c43a0ebaae0beb27b75c74d58c1057eb2104a0746",
   "row_count": 395018,

convert.py

@@ -23,7 +23,7 @@ def sha256(path):
 def convert(source, output):
     csv.field_size_limit(sys.maxsize)
     output.mkdir(parents=True, exist_ok=True)
-    target = output / "data" / "train-00000-of-00001.parquet"
+    target = output / "data" / "data.parquet"
     target.parent.mkdir(parents=True, exist_ok=True)
     row_count = 0
     with source.open(encoding="utf-8", newline="") as stream: