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--- |
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language: |
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- en |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: text |
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dtype: string |
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- name: thml |
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dtype: string |
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- name: refs |
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sequence: string |
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- name: all-MiniLM-L6-v2 |
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sequence: float64 |
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splits: |
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- name: train |
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num_bytes: 10610859675 |
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num_examples: 2428133 |
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download_size: 7687904847 |
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dataset_size: 10610859675 |
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--- |
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# CCEL Paragraphs |
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# Dataset Description |
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### Dataset Summary |
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This dataset includes all paragraphs from the [Christian Classics Ethereal Library](https://ccel.org/). It also includes scripture references extracted from the [ThML](https://en.wikipedia.org/wiki/Theological_Markup_Language). |
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### Supported Tasks and Leaderboards |
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It is expected that this dataset can be used as part of the training pipeline for large language models. In particular, it could be used to create a clustering benchmark by using scripture references as labels. |
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### Languages |
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This dataset is primarily in English, but the dialects of English vary and span many centuries. |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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This includes a single "train" split with all paragraphs included. |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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Thanks to [@jncraton](https://github.com/jncraton) for adding this dataset. |
