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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- text-generation
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- question-answering
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tags:
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- natural-language-processing
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- jsonl
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- nlp
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- qa
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- question-answering
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- questions-and-answers
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- gammacorpus
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- math
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pretty_name: GammaCorpus
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size_categories:
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- 1M<n<10M
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---
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# GammaCorpus: Math QA 2m
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## What is it?
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**GammaCorpus Math QA 2m** is a dataset that consists of 2,760,000 mathematical question-and-answer. It consists of 917,196 addition questions, 916,662 subtraction questions, 917,015 multiplication questions, and 9,126 division questions.
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## Dataset Summary
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- **Number of Rows**: 2,760,000
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- **Format**: JSONL
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- **Data Type**: Mathematical Question Pairs
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## Dataset Structure
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### Data Instances
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The dataset is formatted in JSONL, where each line is a JSON object representing a single question-answer pair. Below is an example:
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```jsonl
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{
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"question": "108 - 924",
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"answer": "-816"
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}
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{
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"question": "62 + 578",
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"answer": "640"
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}
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{
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"question": "592 * 65",
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"answer": "38480"
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}
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{
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"question": "81 / 6",
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"answer": "13.5"
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}
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```
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### Data Fields
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- **`question` (string)**: The math question to be answered.
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- **`answer` (string)**: The corresponding answer to the question.
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## Considerations for Using the Data
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### Limitations
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While this dataset is designed to minimise biases, the following considerations should be kept in mind:
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- Numbers of division questions rows are substantially lower than other question types.
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- The length and complexity of numbers are limited and larger, more complex queries are not supported.
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## Additional Information
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### Licensing Information
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The dataset is released under the **[Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0)**. Please refer to the license for usage rights and restrictions.
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