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---
license: odc-by
task_categories:
- text-generation
dataset_info:
- config_name: all
  features:
  - name: section
    dtype: string
  - name: filename
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  - name: text
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  - name: lang
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  - name: text
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  - name: text
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  - name: text
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  - name: text
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configs:
- config_name: all
  data_files:
  - split: test
    path: all/test-*
  - split: validation
    path: all/validation-*
  - split: train
    path: all/train-*
- config_name: all-filtered
  data_files:
  - split: test
    path: all-filtered/test-*
  - split: validation
    path: all-filtered/validation-*
  - split: train
    path: all-filtered/train-*
- config_name: all-filtered-deduped
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    path: all-filtered-deduped/validation-*
  - split: test
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- config_name: doc
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    path: doc/validation-*
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    path: doc/test-*
- config_name: docx
  data_files:
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    path: docx/train-*
  - split: validation
    path: docx/validation-*
  - split: test
    path: docx/test-*
- config_name: embeddings-jina-base
  data_files:
  - split: train
    path: embeddings-jina-base/train-*
  - split: validation
    path: embeddings-jina-base/validation-*
  - split: test
    path: embeddings-jina-base/test-*
- config_name: logs
  data_files:
  - split: train
    path: logs/train-*
  - split: validation
    path: logs/validation-*
  - split: test
    path: logs/test-*
- config_name: ppt
  data_files:
  - split: validation
    path: ppt/validation-*
  - split: train
    path: ppt/train-*
  - split: test
    path: ppt/test-*
- config_name: pptx
  data_files:
  - split: train
    path: pptx/train-*
  - split: validation
    path: pptx/validation-*
  - split: test
    path: pptx/test-*
- config_name: rtf
  data_files:
  - split: train
    path: rtf/train-*
  - split: validation
    path: rtf/validation-*
  - split: test
    path: rtf/test-*
- config_name: txt
  data_files:
  - split: train
    path: txt/train-*
  - split: validation
    path: txt/validation-*
  - split: test
    path: txt/test-*
---

# govdocs1 Dataset: By File Extension

Markdown-parsed versions of documents in [govdocs1](https://digitalcorpora.org/corpora/file-corpora/files/) with light filtering.

## Usage

Load specific file formats (e.g., `.doc` files) parsed to markdown with `pandoc`:

```python
from datasets import load_dataset

# Replace "doc" with desired config name
dataset = load_dataset("BEE-spoke-data/govdocs1-by-extension", "doc")
```

## Configurations

This dataset includes multiple configurations, each corresponding to a different file extension:

- `doc`
- `docx`
- `logs`
- `ppt`
- `pptx`
- `rtf`
- `txt`

Each configuration contains `train`, `validation`, and `test` splits.

## Dataset Details

- **Download Size**: Varies by configuration
- **Dataset Size**: Varies by configuration
- **Splits**: Train, Validation, Test
- **Features**: Section, Filename, Text

### counts

Here's a summary of the number of examples for each configuration in the dataset (thus far):

1. **DOC Configuration**
   - Train Examples: 38,094
   - Validation Examples: 1,002
   - Test Examples: 1,003

2. **DOCX Configuration**
   - Train Examples: 141
   - Validation Examples: 8
   - Test Examples: 8

3. **Logs Configuration**
   - Train Examples: 9,223
   - Validation Examples: 243
   - Test Examples: 243

4. **PPT Configuration**
   - Train Examples: 13,865
   - Validation Examples: 365
   - Test Examples: 365

5. **PPTX Configuration**
   - Train Examples: 963
   - Validation Examples: 53
   - Test Examples: 54

6. **RTF Configuration**
   - Train Examples: 942
   - Validation Examples: 52
   - Test Examples: 53

7. **TXT Configuration**
   - Train Examples: 41,393
   - Validation Examples: 1,089
   - Test Examples: 1,090



## Citation

```bib
@inproceedings{garfinkel2009bringing,
  title={Bringing Science to Digital Forensics with Standardized Forensic Corpora},
  author={Garfinkel, Simson and others},
  booktitle={Digital Forensic Research Workshop (DFRWS) 2009},
  year={2009},
  address={Montreal, Canada},
  url={https://digitalcorpora.org/corpora/file-corpora/files/}
}
```

For more detailed information on each configuration, refer to the dataset documentation.