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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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- zero-shot-classification |
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pretty_name: arxiv-metadata-oai-snapshot |
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size_categories: |
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- 10K<n<100K |
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--- |
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# arXiv Computer Science Dataset Description |
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## Overview |
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This dataset is a filtered subset of arXiv papers focusing exclusively on Computer Science domains. It contains 46,328 academic papers with their metadata and classifications. |
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## Dataset Structure |
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The dataset contains 7 columns: |
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1. `id`: Unique identifier for each arXiv paper |
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2. `submitter`: The individual who submitted the paper to arXiv |
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3. `title`: The title of the research paper |
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4. `categories`: Original arXiv category codes (e.g., cs.AI, cs.CL) |
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5. `abstract`: The paper's abstract text |
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6. `labels`: Transformed category names in human-readable format |
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7. `domain`: The primary domain classification (Computer Science) |
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## Data Processing |
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- The dataset was created by filtering the complete arXiv metadata dump for Computer Science papers |
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- Category codes were mapped to their full names using a category taxonomy |
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- Each paper's primary domain was extracted from its categories |
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- Only papers with at least one Computer Science category were included |
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## Data Format |
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- File format: CSV |
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- Number of records: 46,328 |
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## Usage |
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This dataset is suitable for: |
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- Text classification tasks |
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- Topic modeling |
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- Research trend analysis |
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- Bibliometric studies |
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- Computer Science subdomain classification |
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## Source |
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The data was derived from the arXiv metadata snapshot and processed using a custom category taxonomy mapping. |
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