Datasets:

AyoubChLin
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ARxiv_Metadata_50k

@@ -7,141 +7,39 @@ pretty_name: arxiv-metadata-oai-snapshot
 size_categories:
 - 10K<n<100K
 ---
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 size_categories:
 - 10K<n<100K
 ---
+# arXiv Computer Science Dataset Description
+## Overview
+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.
 ## Dataset Structure
+The dataset contains 7 columns:
+1. `id`: Unique identifier for each arXiv paper
+2. `submitter`: The individual who submitted the paper to arXiv
+3. `title`: The title of the research paper
+4. `categories`: Original arXiv category codes (e.g., cs.AI, cs.CL)
+5. `abstract`: The paper's abstract text
+6. `labels`: Transformed category names in human-readable format
+7. `domain`: The primary domain classification (Computer Science)
+## Data Processing
+- The dataset was created by filtering the complete arXiv metadata dump for Computer Science papers
+- Category codes were mapped to their full names using a category taxonomy
+- Each paper's primary domain was extracted from its categories
+- Only papers with at least one Computer Science category were included
+## Data Format
+- File format: CSV
+- Number of records: 46,328
+## Usage
+This dataset is suitable for:
+- Text classification tasks
+- Topic modeling
+- Research trend analysis
+- Bibliometric studies
+- Computer Science subdomain classification
+## Source
+The data was derived from the arXiv metadata snapshot and processed using a custom category taxonomy mapping.