metadata

license: odc-by
task_categories:
  - text-classification
  - text-generation
  - feature-extraction
  - sentence-similarity
language:
  - en

High-Quality English Sentences

Dataset Description

This dataset contains a collection of high-quality English sentences sourced from C4 and FineWeb (not FineWeb-Edu). The sentences have been carefully filtered and processed to ensure quality and uniqueness.

"High-quality" means they're legible English and not spam, although they may still have spelling and grammar errors.

Source Data

Before filtering:

C4: 1 million sentences
FineWeb: 1 million sentences

Data Processing

Initial Sentence Filtering:
- Quality score > 0.5 with agentlans/deberta-v3-xsmall-quality classifier
- Length >= 20 characters
Additional Filtering:
- Removed sentences not starting with a capital letter
- Removed sentences with unmatched parentheses or brackets
Deduplication:
- Combined sentences from both sources
- Filtered for unique sentences (exact match)
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.