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--- |
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dataset_info: |
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features: |
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- name: headline |
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dtype: string |
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- name: text |
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dtype: string |
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- name: relevance |
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dtype: string |
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- name: label |
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dtype: int32 |
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splits: |
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- name: train |
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num_bytes: 8313267.6409710925 |
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num_examples: 5593 |
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- name: test |
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num_bytes: 3564315.3590289075 |
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num_examples: 2398 |
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download_size: 7408311 |
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dataset_size: 11877583 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- economics |
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- finance |
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pretty_name: US economy relevance |
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size_categories: |
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- 1K<n<10K |
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--- |
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## Description |
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This dataset is the HuggingFace version of [this dataset](https://www.kaggle.com/datasets/heeraldedhia/us-economic-news-articles). |
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It has been reduced to the task of relevance detection. Each text has a label representing whether it is related to the US Economy or not. Hence, it is exclusively focused on the US economy and not the topic "economics" as a global one. |
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Full credits to the author on Kaggle. |
