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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- article |
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- synthetic |
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size_categories: |
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- 10K<n<100K |
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--- |
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# **Synthesis-Article Dataset** |
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## Overview |
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The **Synthesis-Article** dataset contains scientific article metadata, including titles, abstracts, and categorical labels indicating subject areas such as Computer Science (`cs`), Physics (`phy`), Mathematics (`math`), and Statistics (`stat`). |
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## Dataset Details |
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- **Modality:** Tabular, Text |
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- **Format:** CSV |
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- **Size:** 10K - 100K rows |
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- **Libraries Used:** `pandas`, `Datasets`, `Croissant` |
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- **License:** Apache-2.0 |
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## Dataset Structure |
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The dataset consists of the following columns: |
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| Column Name | Type | Description | |
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|------------|------|-------------| |
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| `title` | string | Title of the scientific article | |
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| `abstract` | string | Abstract of the article | |
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| `cs` | int64 | Binary label indicating if the article belongs to Computer Science (1: Yes, 0: No) | |
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| `phy` | int64 | Binary label indicating if the article belongs to Physics (1: Yes, 0: No) | |
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| `math` | int64 | Binary label indicating if the article belongs to Mathematics (1: Yes, 0: No) | |
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| `stat` | int64 | Binary label indicating if the article belongs to Statistics (1: Yes, 0: No) | |
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## Dataset Statistics |
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- **Total Rows:** 29,961 |
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- **Train Split:** ~21K rows |
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- **Size of CSV:** 32.8 MB |
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- **Size of Auto-Converted Parquet:** 19.8 MB |
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## Usage |
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To load the dataset using `datasets`: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("prithivMLmods/Synthesis-Article") |
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print(dataset) |
