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--- |
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language: |
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- fr |
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license: mit |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-classification |
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pretty_name: Comments under Le Monde Ukraine war articles (1 year) |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: label |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 133853 |
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num_examples: 323 |
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- name: validation |
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num_bytes: 54736 |
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num_examples: 139 |
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- name: unlabeled |
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num_bytes: 64192366 |
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num_examples: 174891 |
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download_size: 39789476 |
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dataset_size: 64380955 |
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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: validation |
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path: data/validation-* |
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- split: unlabeled |
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path: data/unlabeled-* |
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--- |
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## Comments under Le Monde Ukraine War Articles (1 Year) |
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### Description |
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This dataset contains 175k comments extracted from Le Monde articles about the Ukraine war during its first year (February 2022 to 2023). |
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Among these, around 500 comments are manually labeled into categories: 0. Explicit support for Ukraine, 1. pro Russia, 2. "Other". |
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### Dataset Structure |
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#### Features |
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- `text`: The comment text (string). |
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- `label`: The label for the comment (integer). The labels are as follows: |
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- 0: pro_Ukraine |
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- 1: pro_Russia |
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- 2: other |
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- 4: no_label (the unlabeled data). |
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#### Splits |
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Train and validation are manually labeled. Unlabeled data could be used for knowledge distillation for instance. |
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- `train`: 323 examples. |
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- `validation`: 139 examples. |
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- `unlabeled`: 174,891 examples. |
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### Additional Information |
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- **Homepage**: [Project Repository](https://github.com/matthieuvion/lmd_classi) |
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- **License**: MIT License |
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- **Language**: French |
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- **Task Categories**: Text Classification |
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- **Size Categories**: 100K < n < 1M |
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