Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -16,7 +16,50 @@ tags:
|
|
16 |
- blog-posts
|
17 |
- large-scale
|
18 |
- english
|
19 |
-
pretty_name: Medium Articles Corpus
|
20 |
size_categories:
|
21 |
-
-
|
22 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
- blog-posts
|
17 |
- large-scale
|
18 |
- english
|
19 |
+
pretty_name: Medium Articles Corpus (10K Sample)
|
20 |
size_categories:
|
21 |
+
- 10K<n<100K
|
22 |
+
---
|
23 |
+
|
24 |
+
# Medium Articles Corpus (10K Sample)
|
25 |
+
|
26 |
+
The **Medium Articles Corpus** is a massive, clean dataset of articles scraped from Medium.com. This sample version contains **10,000 articles** and is designed to showcase the quality and structure of the full corpus for researchers and developers.
|
27 |
+
|
28 |
+
### Dataset Features
|
29 |
+
|
30 |
+
This dataset includes the following key features, provided in a single, well-structured CSV file:
|
31 |
+
|
32 |
+
- **`title`**: The headline of the article.
|
33 |
+
- **`content`**: The full body text of the article.
|
34 |
+
- **`tags`**: The topics and keywords associated with the article.
|
35 |
+
- **`author`**: The name of the article's author.
|
36 |
+
- **`date`**: The publication date of the article.
|
37 |
+
- **`claps`**: The number of claps (upvotes) the article received.
|
38 |
+
- **`comments`**: The number of comments on the article.
|
39 |
+
|
40 |
+
### Use Cases
|
41 |
+
|
42 |
+
This dataset is ideal for:
|
43 |
+
|
44 |
+
- **Language Model Prototyping:** A manageable corpus for quickly testing and validating language model architectures.
|
45 |
+
- **Topic Modeling:** Discovering popular and emerging trends on the platform using unsupervised learning methods.
|
46 |
+
- **Text Classification:** Training small-scale models to automatically categorize articles by topic, genre, or sentiment.
|
47 |
+
- **Exploratory Data Analysis:** Getting a feel for the dataset's structure, quality, and content.
|
48 |
+
|
49 |
+
### Dataset Structure
|
50 |
+
|
51 |
+
The data is provided in a single CSV file with the following columns:
|
52 |
+
|
53 |
+
| Column Name | Description | Example |
|
54 |
+
|-------------|------------------------------------------------|---------------------------------------|
|
55 |
+
| `title` | The article headline | "How I Built a Recommendation Engine" |
|
56 |
+
| `content` | The full article text | "In this article, I will..." |
|
57 |
+
| `tags` | Comma-separated list of tags | "AI, Machine Learning, Python" |
|
58 |
+
| `author` | The author's name | "Jane Doe" |
|
59 |
+
| `date` | Publication date | "2023-10-27" |
|
60 |
+
| `claps` | Number of claps | 1500 |
|
61 |
+
| `comments` | Number of comments | 50 |
|
62 |
+
|
63 |
+
### How to Use
|
64 |
+
|
65 |
+
You can easily load this dataset using the Hugging Face `datasets` library.
|