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Use native timestamps, booleans, integers, and nulls for subreddit metadata
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metadata
pretty_name: Subreddits Directory
license: other
license_name: reddit-api
license_link: https://redditinc.com/policies/data-api-terms
size_categories:
  - 100K<n<1M
tags:
  - reddit
  - subreddits
  - community-metadata
  - tabular
  - historical
configs:
  - config_name: default
    data_files:
      - split: data
        path: data/data.parquet
    default: true
viewer: true
dataset_info:
  features:
    - name: title
      dtype: string
    - name: description
      dtype: string
    - name: display_name
      dtype: string
    - name: created_utc
      dtype: timestamp[us, tz=UTC]
    - name: over18
      dtype: bool
    - name: url
      dtype: string
    - name: subscribers
      dtype: int64
    - name: public_description
      dtype: string
    - name: subreddit
      dtype: string
    - name: retrieved_on
      dtype: timestamp[us, tz=UTC]
    - name: rules_markdown
      dtype: string
    - name: descp
      dtype: string
  config_name: default
  splits:
    - name: data
      num_bytes: 400524343
      num_examples: 395018
  download_size: 184146598
  dataset_size: 400524343

Subreddits Directory

A directory of Reddit communities published by SemVec in Parquet format.

The dataset contains 395,018 rows and 12 columns of subreddit names, descriptions, member counts, and other community metadata. This Parquet edition was prepared on October 17, 2026.

This dataset contains historical metadata. The publication date of this repository is not the collection date. Names, descriptions, member counts, rules, availability, and other values reflect previously collected records. Where available, retrieved_on provides a record's retrieval timestamp. This is not a verified directory of every currently existing subreddit.

Dataset contents

Each record describes a Reddit community through its name, title, descriptions, member count, creation and retrieval dates, adult-content flag, and available rules. The data split contains the complete directory.

All original records and columns are retained in their original order. Descriptions and rules have not been rewritten, and no metadata has been refreshed. Missing values and any duplicate records remain part of the dataset.

Columns

Column Meaning Missing values
title Subreddit title. 18
description Longer subreddit description/sidebar text. 161,178
display_name Subreddit display name. 1
created_utc When the community was created (UTC). 0
over18 Whether the community is marked as adult content/NSFW. 0
url Community URL or relative Reddit path. 0
subscribers Subscriber/member count at collection time. 0
public_description Short public subreddit description. 54,126
subreddit Subreddit name. 0
retrieved_on When the metadata was retrieved (UTC), where available. 259,611
rules_markdown Community rules in Markdown, when provided. 259,611
descp Auxiliary description field. Its original construction is undocumented; it is preserved without reinterpretation. 0

Load with Hugging Face Datasets

from datasets import load_dataset

dataset = load_dataset("semvec/subreddits-directory", split="data")
print(dataset.column_names)
print(dataset[0])

For incremental reading:

dataset = load_dataset(
    "semvec/subreddits-directory", split="data", streaming=True
)
row = next(iter(dataset))

Download the Parquet file

Download directly from this repository with the Hugging Face CLI:

hf download semvec/subreddits-directory data/data.parquet --repo-type dataset --local-dir subreddits-directory

Usage terms and limitations

The full original collection methodology is not documented. Community flags and metadata have not been independently validated, and completeness is not guaranteed.

The dataset retains the reddit-api license designation; see Reddit's Data API Terms. It is not relicensed under an open-source or Creative Commons license. Public availability of this repository does not grant additional rights to the underlying content.

Descriptions and rules are user-generated text and may contain offensive or adult content. Missing fields, duplicate records, and any original inconsistencies are preserved.