Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
annotations_creators:
|
| 4 |
+
- no-annotation
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
multilinguality:
|
| 8 |
+
- monolingual
|
| 9 |
+
size_categories:
|
| 10 |
+
- 10M<n<100M
|
| 11 |
+
source_datasets:
|
| 12 |
+
- original
|
| 13 |
+
task_categories:
|
| 14 |
+
- text-generation
|
| 15 |
+
- text-scoring
|
| 16 |
+
task_ids:
|
| 17 |
+
- language-modeling
|
| 18 |
+
- sentiment-analysis
|
| 19 |
+
- toxicity-detection
|
| 20 |
+
pretty_name: Discord Messages 2026
|
| 21 |
+
tags:
|
| 22 |
+
- discord
|
| 23 |
+
- social-media
|
| 24 |
+
- chat
|
| 25 |
+
- conversation
|
| 26 |
+
- nlp
|
| 27 |
+
- text-generation
|
| 28 |
+
---
|
| 29 |
+
|
| 30 |
+
# Discord Messages Dataset
|
| 31 |
+
|
| 32 |
+
## Description
|
| 33 |
+
|
| 34 |
+
This dataset contains **6.2 million anonymized messages** extracted from public Discord servers. All personal identifying information (user IDs, server IDs, channel IDs, timestamps) has been removed. Only the raw message text remains.
|
| 35 |
+
|
| 36 |
+
The data is formatted as plain text with **one message per line**, making it ideal for:
|
| 37 |
+
- Language model pre-training
|
| 38 |
+
- Fine-tuning chatbots
|
| 39 |
+
- Sentiment analysis
|
| 40 |
+
- Toxicity detection
|
| 41 |
+
- Slang and language evolution research
|
| 42 |
+
- Conversational AI training
|
| 43 |
+
|
| 44 |
+
## Dataset Statistics
|
| 45 |
+
|
| 46 |
+
| Metric | Value |
|
| 47 |
+
|--------|-------|
|
| 48 |
+
| **Total messages** | 6,200,934 |
|
| 49 |
+
| **File size** | 487 MB |
|
| 50 |
+
| **Format** | Plain text (UTF-8) |
|
| 51 |
+
| **Lines** | 6,200,934 |
|
| 52 |
+
| **Language** | English (primarily) |
|
| 53 |
+
| **Average message length** | ~78 characters |
|
| 54 |
+
|
| 55 |
+
## Data Format
|
| 56 |
+
|
| 57 |
+
Each line contains a single message:
|
| 58 |
+
hey guys whats up
|
| 59 |
+
anyone wanna play?
|
| 60 |
+
looking for group
|
| 61 |
+
i'm so bored rn
|
| 62 |
+
can someone help me with this
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
## Usage Examples
|
| 66 |
+
|
| 67 |
+
### Python
|
| 68 |
+
|
| 69 |
+
```python
|
| 70 |
+
# Load and iterate through messages
|
| 71 |
+
with open('messages_only.txt', 'r', encoding='utf-8') as f:
|
| 72 |
+
for line in f:
|
| 73 |
+
message = line.strip()
|
| 74 |
+
# Process message
|
| 75 |
+
print(message)```
|
| 76 |
+
|