---
license: odc-by
task_categories:
- text-generation
dataset_info:
- config_name: doc
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1305911464.0538015
    num_examples: 20429
  - name: validation
    num_bytes: 34391324.47309928
    num_examples: 538
  - name: test
    num_bytes: 34391324.47309928
    num_examples: 538
  download_size: 545689434
  dataset_size: 1374694113.0
- config_name: docx
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 4605598.853503184
    num_examples: 141
  - name: validation
    num_bytes: 261310.57324840763
    num_examples: 8
  - name: test
    num_bytes: 261310.57324840763
    num_examples: 8
  download_size: 1788590
  dataset_size: 5128220
- config_name: logs
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2350324475.916881
    num_examples: 9223
  - name: validation
    num_bytes: 61924411.541559376
    num_examples: 243
  - name: test
    num_bytes: 61924411.541559376
    num_examples: 243
  download_size: 718096901
  dataset_size: 2474173298.9999995
- config_name: pptx
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 9517778
    num_examples: 963
  - name: validation
    num_bytes: 513930
    num_examples: 53
  - name: test
    num_bytes: 436852
    num_examples: 54
  download_size: 5314310
  dataset_size: 10468560
- config_name: rtf
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 61558658.13180516
    num_examples: 942
  - name: validation
    num_bytes: 3398142.4871060173
    num_examples: 52
  - name: test
    num_bytes: 3463491.3810888254
    num_examples: 53
  download_size: 22547280
  dataset_size: 68420292
- config_name: txt
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1358006724.1432111
    num_examples: 41393
  - name: validation
    num_bytes: 35727522.10740843
    num_examples: 1089
  - name: test
    num_bytes: 35760329.749380335
    num_examples: 1090
  download_size: 608912009
  dataset_size: 1429494576
configs:
- config_name: doc
  data_files:
  - split: train
    path: doc/train-*
  - split: validation
    path: doc/validation-*
  - split: test
    path: doc/test-*
- config_name: docx
  data_files:
  - split: train
    path: docx/train-*
  - split: validation
    path: docx/validation-*
  - split: test
    path: docx/test-*
- config_name: logs
  data_files:
  - split: train
    path: logs/train-*
  - split: validation
    path: logs/validation-*
  - split: test
    path: logs/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-*
---
# Dataset Card for "released-gov-docs-misc"


## usage

This loads all the `.doc` files (parsed to markdown with `pandoc`):

```python
from datasets import load_dataset

# If the dataset is gated/private, make sure you have run huggingface-cli login
dataset = load_dataset("BEE-spoke-data/released-gov-docs-misc", "doc")
```

## details

Most documents ratain formatting capturing the original `.doc` (or similar file) like tables which is cool:



![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/dXJWcIUSPKN2y0b9RFT2a.png)

## info

https://digitalcorpora.org/corpora/file-corpora/files/


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