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--- |
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license: mit |
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task_categories: |
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- text-generation |
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- text2text-generation |
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language: |
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- en |
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pretty_name: BluePrint |
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size_categories: |
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- 1M<n<10M |
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configs: |
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- config_name: 2_clusters |
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data_files: |
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- split: full |
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path: processed_2_clusters/cluster_*.jsonl |
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default: true |
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- config_name: 25_clusters |
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data_files: |
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- split: full |
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path: processed_25_clusters/cluster_*.jsonl |
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- config_name: 100_clusters |
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data_files: |
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- split: full |
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path: processed_100_clusters/cluster_*.jsonl |
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- config_name: 1000_clusters |
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data_files: |
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- split: full |
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path: processed_1000_clusters/cluster_*.jsonl |
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--- |
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# 📘 BluePrint |
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BluePrint is a large-scale dataset of social media conversation threads designed for evaluating and training LLM-based social media agents. |
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It provides realistic, thread-structured data clustered into representative user personas at various levels of granularity. |
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## ✅ Key Features |
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Thread-Based Structure: Each example is a list of messages representing a user thread. |
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Persona Clustering: Users are clustered into 2, 25, 100, and 1000 representative personas to enable safe and scalable simulations. |
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Behavioral Signals: Each message includes relative timestamps, user ID, and social actions such as `likes`, `reposts`, and `replies`. |
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## 🎯 Use Cases |
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Text Generation |
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Next-Action Prediction |
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Behavioral Simulation |
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Persona Modeling |
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## 📝 Dataset Structure |
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Each record contains: |
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- `relative_integer_time`: Relative timestamp of the message. |
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- `text`: Text content of the message. |
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- `actions`: Next action (bool). Will have the following: |
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- `like`, `unlike`, `repost`, `unrepost`, `follow`, `unfollow`, `block`, `unblock`, `post_update`, `post_delete`, `quote`, `post`, `reply` |
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- `user_id`: Anonymized user identifier. |
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Example: |
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```json |
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{ |
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"thread": [ |
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{ |
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"relative_integer_time": 9884584, |
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"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.", |
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"actions": { |
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"like": false, |
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"unlike": false, |
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"repost": false, |
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"unrepost": false, |
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"follow": false, |
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"unfollow": false, |
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"block": false, |
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"unblock": false, |
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"post_update": false, |
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"post_delete": false, |
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"quote": false, |
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"post": true, |
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"reply": false |
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}, |
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"user_id": "7ebac0bdfe8f0925bf1e5dd672e3288e3b1e05ba0620285f7d7f7ed89e33ee9e" |
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} |
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] |
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} |
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``` |
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Statistics of each cluster split can be found at the folder `stats/`. |
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## 🗂️ Configurations |
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| Config Name | Description | Size (examples) | |
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| --------------- | --------------------------------- | --------------- | |
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| `2_clusters` | 2 representative user personas | 6.8M | |
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| `25_clusters` | 25 representative user personas | 6.8M | |
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| `100_clusters` | 100 representative user personas | 6.8M | |
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| `1000_clusters` | 1000 representative user personas | 6.8M | |
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## 💾 Loading Example |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ComplexDataLab/BluePrint", name="2_clusters") |
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for i, example in enumerate(dataset["full"]): |
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print(f"Example {i}: {example}") |
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break |
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``` |
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> 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'}]} |
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## 📄 License |
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This dataset is released under the MIT License. |
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