--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: uuid dtype: string - name: language dtype: string - name: site dtype: string - name: url dtype: string - name: html dtype: string - name: annotations list: - name: labels list: string - name: text dtype: string - name: xpath dtype: string - name: html_wtl dtype: string - name: html_en dtype: string - name: screenshot dtype: image - name: elements_metadata dtype: string splits: - name: train num_bytes: 82140877457 num_examples: 29081 download_size: 48603187188 dataset_size: 82140877457 task_categories: - token-classification language: - en - es - ru - ar - fr - pt - hr - zh - de - ko tags: - web - multilingual - extraction - news size_categories: - 10K # NewsXLM Dataset The first large-scale multilingual dataset for news web page attribute extraction, containing 29,081 annotated pages from 759 websites across 56 languages. * 📊 [Per-language Stats](NEWSXLM_DATASET_STATS.md) * 🗃️ [MHTML Sources](https://huggingface.co/datasets/ispras-crawlers/newsxlm-mhtml) **Columns Explanation** * `html`: Cleaned original HTML * `html_en`: `html` with text nodes translated into English * `html_wtl`: `html` with `wtl-uid` and `wtl-parent-uid` attributes added to each element in \, following the [WTL algorithm](https://github.com/klarna-incubator/webtraversallibrary/blob/master/webtraversallibrary/js/get_element_metadata.js) * `annotations`: List of labeled page nodes in the following format: ``` [ { "xpath": "string", // May end with "/tail" "text": "string", "labels": ["string"] // In this dataset, the list always contains exactly one label }, // ... ] ``` * `elements_metadata`: A JSON string containing \ elements metadata produced by the WTL: ``` { "wtl-uid": { /* element metadata */ }, // ... } ``` **Labeled Attributes** `title`, `publication_date`, `text`, `author`, `tag`. A very limited number of `category` labels may appear.