Create README.md
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README.md
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---
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license: cc-by-sa-3.0
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task_categories:
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- text-generation
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- text-classification
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language:
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- no
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pretty_name: WIKI Paragraphs Norwegian
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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: train.jsonl
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- split: validation
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path: validation.jsonl
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- split: test
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path: test.jsonl
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- split: validation1000
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path: validation1000.jsonl
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- split: test1000
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path: test1000.jsonl
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- split: validation100
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path: validation100.jsonl
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- split: test100
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path: test100.jsonl
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- split: pretrain
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path: pretrain.jsonl
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- split: reserve
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path: reserve.jsonl
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version: 1.0.0
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citation: >
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This dataset contains content from Wikipedia under CC BY-SA 3.0 license.
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: url
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dtype: string
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- name: paragraph_number
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dtype: int64
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- name: corrupt
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dtype: string
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- name: corrupt_level
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dtype: int64
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splits:
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- name: train
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num_examples: 1000000
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- name: validation
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num_examples: 10000
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- name: test
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num_examples: 10000
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- name: validation1000
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num_examples: 1000
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- name: test1000
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num_examples: 1000
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- name: validation100
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num_examples: 100
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- name: test100
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num_examples: 100
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- name: pretrain
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num_examples: 10000
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- name: reserve
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num_examples: 100000
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---
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# WIKI Paragraphs Norwegian
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A multi-split dataset for machine learning research and evaluation, containing text samples in JSON Lines format.
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## Features
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- **Multiple splits** for different use cases
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- **Random shuffle** with Fisher-Yates algorithm
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- **Structured format** with text and metadata
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- **Size-varied validation/test sets** (100 to 10k samples)
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## Splits Overview
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| Split Name | Samples | Typical Usage |
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|---------------------|--------:|------------------------|
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| `train` | 1,000,000 | Primary training data |
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| `validation` | 10,000 | Standard validation |
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| `test` | 10,000 | Final evaluation |
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| `validation1000` | 1,000 | Quick validation |
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| `test1000` | 1,000 | Rapid testing |
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| `validation100` | 100 | Debugging/development |
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| `test100` | 100 | Small-scale checks |
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| `pretrain` | 10,000 | Pre-training phase |
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| `reverse` | 100,000 | Special tasks |
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**Total Samples:** 1,132,200
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## License
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**Creative Commons Attribution-ShareAlike 3.0**
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[![CC BY-SA 3.0](https://licensebuttons.net/l/by-sa/3.0/88x31.png)](https://creativecommons.org/licenses/by-sa/3.0/)
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This dataset inherits Wikipedia's licensing terms:
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- **Attribution Required**
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- **ShareAlike Mandatory**
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- **Commercial Use Allowed**
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## Usage
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```python
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from datasets import load_dataset
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# Load main training split
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dataset = load_dataset("your-username/dataset-name", split="train")
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# Access smaller validation split
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val_100 = load_dataset("your-username/dataset-name", "validation100")
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```
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## Data Structure
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Each line contains JSON:
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```json
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Copy
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{
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"text": "Full text content...",
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"metadata": {
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"source": "Wikipedia",
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"timestamp": "2023-01-01",
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"url": "https://..."
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}
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}
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```
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## Notes
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All splits accessible via:
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load_dataset(repo_id, split_name)
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Non-standard splits (e.g., reverse) require explicit config:
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split="reverse"
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When using, include attribution:
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"Contains content from Wikipedia under CC BY-SA 3.0"
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