Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10M - 100M
DOI:
License:
license: mit | |
task_categories: | |
- text-generation | |
- text2text-generation | |
language: | |
- en | |
pretty_name: BluePrint | |
size_categories: | |
- 1M<n<10M | |
configs: | |
- config_name: 2_clusters | |
data_files: | |
- split: full | |
path: processed_2_clusters/cluster_*.jsonl | |
default: true | |
- config_name: 25_clusters | |
data_files: | |
- split: full | |
path: processed_25_clusters/cluster_*.jsonl | |
- config_name: 100_clusters | |
data_files: | |
- split: full | |
path: processed_100_clusters/cluster_*.jsonl | |
- config_name: 1000_clusters | |
data_files: | |
- split: full | |
path: processed_1000_clusters/cluster_*.jsonl | |
# π BluePrint | |
BluePrint is a large-scale dataset of social media conversation threads designed for evaluating and training LLM-based social media agents. | |
It provides realistic, thread-structured data clustered into representative user personas at various levels of granularity. | |
## β Key Features | |
Thread-Based Structure: Each example is a list of messages representing a user thread. | |
Persona Clustering: Users are clustered into 2, 25, 100, and 1000 representative personas to enable safe and scalable simulations. | |
Behavioral Signals: Each message includes relative timestamps, user ID, and social actions such as `likes`, `reposts`, and `replies`. | |
## π― Use Cases | |
Text Generation | |
Next-Action Prediction | |
Behavioral Simulation | |
Persona Modeling | |
## π Dataset Structure | |
Each record contains: | |
- `relative_integer_time`: Relative timestamp of the message. | |
- `text`: Text content of the message. | |
- `actions`: Next action (bool). Will have the following: | |
- `like`, `unlike`, `repost`, `unrepost`, `follow`, `unfollow`, `block`, `unblock`, `post_update`, `post_delete`, `quote`, `post`, `reply` | |
- `user_id`: Anonymized user identifier. | |
Example: | |
```json | |
{ | |
"thread": [ | |
{ | |
"relative_integer_time": 9884584, | |
"text": "BTW, Mark Cuban is the second-most followed person on Bluesky. Back in 2017 there was a lot of talk about who could be the Democrats' Trump, and plenty of chest-puffing in response that there couldn't be one. Cuban is it. He's not as dim and he's not a sociopath but he is talking out of his ass.", | |
"actions": { | |
"like": false, | |
"unlike": false, | |
"repost": false, | |
"unrepost": false, | |
"follow": false, | |
"unfollow": false, | |
"block": false, | |
"unblock": false, | |
"post_update": false, | |
"post_delete": false, | |
"quote": false, | |
"post": true, | |
"reply": false | |
}, | |
"user_id": "7ebac0bdfe8f0925bf1e5dd672e3288e3b1e05ba0620285f7d7f7ed89e33ee9e" | |
} | |
] | |
} | |
``` | |
Statistics of each cluster split can be found at the folder `stats/`. | |
## ποΈ Configurations | |
| Config Name | Description | Size (examples) | | |
| --------------- | --------------------------------- | --------------- | | |
| `2_clusters` | 2 representative user personas | 6.8M | | |
| `25_clusters` | 25 representative user personas | 6.8M | | |
| `100_clusters` | 100 representative user personas | 6.8M | | |
| `1000_clusters` | 1000 representative user personas | 6.8M | | |
## πΎ Loading Example | |
```python | |
from datasets import load_dataset | |
dataset = load_dataset("ComplexDataLab/BluePrint", name="2_clusters") | |
for i, example in enumerate(dataset["full"]): | |
print(f"Example {i}: {example}") | |
break | |
``` | |
> Example 0: {'thread': [{'relative_integer_time': 9884584, 'text': "BTW, Mark Cuban is the second-most followed person on Bluesky. Back in 2017 there was a lot of talk about who could be the Democrats' Trump, and plenty of chest-puffing in response that there couldn't be one. Cuban is it. He's not as dim and he's not a sociopath but he is talking out of his ass.", 'actions': {'like': False, 'unlike': False, 'repost': False, 'unrepost': False, 'follow': False, 'unfollow': False, 'block': False, 'unblock': False, 'post_update': False, 'post_delete': False, 'quote': False, 'post': True, 'reply': False}, 'user_id': '7ebac0bdfe8f0925bf1e5dd672e3288e3b1e05ba0620285f7d7f7ed89e33ee9e'}]} | |
## π License | |
This dataset is released under the MIT License. | |