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README.md

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-license: odc-by
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+## High-Quality English Sentences
+
+### Dataset Description
+
+This dataset contains a collection of high-quality English sentences sourced from [C4](https://huggingface.co/datasets/allenai/c4) and [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) (*not* [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)). The sentences have been carefully filtered and processed to ensure quality and uniqueness.
+
+### Source Data
+
+Before filtering:
+- **C4:** 1 million sentences
+- **FineWeb:** 1 million sentences
+
+### Data Processing
+
+1. **Initial Filtering:**
+   - Quality score > 0.5 with [agentlans/deberta-v3-xsmall-quality](https://huggingface.co/agentlans/deberta-v3-xsmall-quality) classifier
+   - Sentence length >= 20 characters
+
+2. **Additional Filtering:**
+   - Removed sentences not starting with a capital letter
+   - Removed sentences with unmatched parentheses or brackets
+
+3. **Deduplication:**
+   - Combined sentences from both sources
+   - Filtered for unique sentences
+
+4. **Train-Test Split:**
+   - Train set: 90% of data
+   - Test set: 10% of data
+
+### Data Fields
+
+No data field. Just one sentence per line as a string.
+
+### Data Splits
+
+| Split   | Number of Sentences |
+|---------|---------------------|
+| Train   | 1 534 699           |
+| Test    | 170 522             |
+| Total   | 1 705 221           |
+
+### Dataset Creation
+
+- **Curation Rationale:** To create a high-quality dataset of diverse English sentences for various NLP tasks.
+- **Source Contributions:** Equal initial contributions from C4 and FineWeb, with subsequent filtering and processing.
+
+### Considerations for Using the Data
+
+- The dataset deliberately uses FineWeb and C4 instead of FineWeb-Edu in order to broaden beyond educational and academic content. However, it's still biased towards those genres.
+- Titles and citations are considered "sentences".
+- The filtering process may have introduced some biases, such as favouring more formal writing styles and omitting lists due to the capitalization requirement.

test.txt.gz

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train.txt.gz

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