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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
```python
from datasets import load_dataset
dataset = load_dataset("semvec/subreddits-directory", split="data")
print(dataset.column_names)
print(dataset[0])
```
For incremental reading:
```python
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:
```bash
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](https://redditinc.com/policies/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.
|