Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Update REAMDE.md
Browse files
README.md
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dtype: string
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splits:
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- name: train
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num_bytes: 309420055
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num_examples: 38661
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download_size: 157180903
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dataset_size: 309420055
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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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---
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dtype: string
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splits:
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- name: train
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num_bytes: 309420055
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num_examples: 38661
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download_size: 157180903
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dataset_size: 309420055
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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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license: cc-by-4.0
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- math
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- latex
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pretty_name: enwikimath
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card
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This dataset is created from the English Wikipedia dump file (enwiki-20240901-pages-articles-multistream.xml.bz2), available for download from [Wikimedia Dumps](https://dumps.wikimedia.org/). It includes pages containing mathematical content, extracted using [the wikimathextractor tool](https://github.com/s-kat0/wikimathextractor), which is an adaptation of [the wikiextractor](https://github.com/attardi/wikiextractor) specifically designed to extract mathematical contents.
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### Dataset Description
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- **Curated by:** Shota Kato
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- **Language(s) (NLP):** English
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- **License:** CC-BY-SA 4.0
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### Dataset Sources
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- **Repository:** [s-kat0/wikimathextractor](https://github.com/s-kat0/wikimathextractor)
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- **Data Source:** [Wikipedia Dumps](https://dumps.wikimedia.org/)
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### Direct Use
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This dataset is intended for use in tasks that require the processing and understanding of mathematical content in natural language, such as mathematical question answering and symbolic math problem solving.
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## Dataset Structure
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### Data Instances
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A typical data entry in the dataset corresponds to one Wikipedia article that includes mathematical content. Here is an example:
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```python
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{
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'id': '26513034',
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'title': 'Pythagorean theorem',
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'text': 'Relation between sides of a right triangle\nIn mathematics, the Pythagorean theorem or Pythagoras\' theorem is a fundamental relation in Euclidean geometry between the three sides of a right triangle. ...'
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'formulas': [
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{'math_id': 0, 'text': 'a^2 + b^2 = c^2 .'},
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{'math_id': 1, 'text': 'a + b'}, ...
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],
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'url': 'https://en.wikipedia.org/wiki?curid=26513034'
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}
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```
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### Data Fields
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- id (str)
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- a string representing the unique identifier of the article.
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- title (str)
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- the title of the Wikipedia article.
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- text (str)
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- the text content of the article, with some tags removed. Details are available in [the GitHub repository](https://github.com/s-kat0/wikimathextractor).
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- formulas (list[dict[str, int | str]])
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- a list of mathematical expressions extracted from the article, where each formula is represented as follow.
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- math_id: an index representing the position of the formula in the text.
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- text: the textual representation of the formula, without <math> tags.
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- url (str)
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- the URL of the Wikipedia article.
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### Data Splits
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The dataset is provided in a single training split:
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- train: 38,661 rows
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The `DatasetDict` structure is as follows:
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```python
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DatasetDict({
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'train': Dataset({
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features: ['id', 'title', 'text', 'formulas', 'url'],
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num_rows: 38661
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})
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})
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```
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## Dataset Creation
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Please refer to [the GitHub repository](https://github.com/s-kat0/wikimathextractor) for details about the dataset construction.
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### Source Data
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- **Original Source:** English Wikipedia available from [Wikipedia Dumps](https://dumps.wikimedia.org/)
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#### Data Collection and Processing
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Please refer to [the GitHub repository](https://github.com/s-kat0/wikimathextractor) for details about the dataset construction.
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#### Who are the source data producers?
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Shota Kato
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## Bias, Risks, and Limitations
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This dataset is in English and contains English Wikipedia page related to mathematical topics.
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## Acknowledgements
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This dataset was constructed with references to several projects and tools. Acknowledgement is given to the following resources:
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- [attardi/wikiextractor](https://github.com/attardi/wikiextractor)
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- [Hugging Face Datasets: hpprc/jawiki](https://huggingface.co/datasets/hpprc/jawiki)
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