| --- |
| dataset_info: |
| features: |
| - name: ticker |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: text |
| dtype: string |
| - name: url |
| dtype: string |
| - name: result_1 |
| dtype: string |
| - name: result_1_bin |
| dtype: int64 |
| - name: relevance |
| dtype: string |
| - name: token_count |
| dtype: int64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 2284852 |
| num_examples: 3600 |
| - name: val |
| num_bytes: 128718 |
| num_examples: 200 |
| - name: test |
| num_bytes: 128847 |
| num_examples: 200 |
| download_size: 965881 |
| dataset_size: 2542417 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: val |
| path: data/val-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| ## INFO |
|
|
| A random selection of tweets for the purpose of fine-tuning a LLM to predict stock price movement the day after the tweets. |
|
|
| Source koen430/preprocessed_stock_twitter |
|
|
| More info will follow soon |
|
|
