Datasets:
section stringclasses 4
values | filename stringlengths 6 32 | text stringlengths 104 10.3M | lang stringclasses 44
values |
|---|---|---|---|
converted_docs | 356139 | **DiamondMEMS\***
John A. Carlisle
Materials Science Division & Center for Nanoscale Materials
Argonne National Laboratory
Argonne, Illinois 60439 USA
Diamond MEMS may offer many potential performance and reliability
advantages over traditional MEMS materials. For instance, its high
Young's modulus may enable diam... | en |
converted_docs | 821154 | ### Section D. Claims for Service Connection for Posttraumatic Stress Disorder (PTSD)
#### Overview
+------------+---------------------------------------------------------+
| # | > This section contains the following topics: |
| #### In th | |... | en |
converted_docs | 991919 | {width="1.2902777777777779in"
height="1.229861111111111in"} April 28, 2005
**[VIA CERTIFIED MAIL]{.underline}**
**[RETURN RECEIPT REQUESTED]{.underline}**
Ming-Hang Ho
Gilsson Technologies
2576 Barrington Court
Hayward, CA 94545
> Re: File No. EB-05-SE-005
Dear Mr. Ho:
This is an official ... | en |
converted_docs | 406659 | "PART I - SECTION B\n\nSUPPLIES OR SERVICES AND PRICES/COSTS\n\n**[Clin 0001]{.underline}** Contract(...TRUNCATED) | en |
markdown | 139601 | "# Presentation: 139601\n\n## GOAL 1\n\n- Background\n- Clinical Presentation\n- Recognition and Dia(...TRUNCATED) | en |
markdown | 517673 | "# Presentation: 517673\n\n## Office of Public Affairs\u000b\u000bFactors in Decisions on Communicat(...TRUNCATED) | en |
markdown | 517669 | "# Presentation: 517669\n\n## Viewers\n\n- FRAMES-2.0 Workshop\n- U.S. Nuclear Regulatory Commission(...TRUNCATED) | en |
converted_docs | 546477 | "**1) Currently funded BES research projects of relevance to counter\nterrorism**\n\nLawrence Berkel(...TRUNCATED) | en |
converted_docs | 539446 | "{width=\"6.916666666666667in\"\nheight=\"1.1159722222222221in\"}\n\nMay 23, 2(...TRUNCATED) | en |
markdown | 051288 | "# Presentation: 051288\n\n## Scalable Systems Software Center\u000b\u000bResource Management and Ac(...TRUNCATED) | en |
End of preview. Expand in Data Studio
govdocs1 Dataset: By File Extension
PDFs from govdocs1 are at this repo in "raw" file form - no simple "mostly correct" way to convert to text
Markdown-parsed versions of documents in govdocs1 with light filtering.
Usage
Load specific file formats (e.g., .doc files) parsed to markdown with pandoc:
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:
docdocxlogspptpptxrtftxt
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):
DOC Configuration
- Train Examples: 38,094
- Validation Examples: 1,002
- Test Examples: 1,003
DOCX Configuration
- Train Examples: 141
- Validation Examples: 8
- Test Examples: 8
Logs Configuration
- Train Examples: 9,223
- Validation Examples: 243
- Test Examples: 243
PPT Configuration
- Train Examples: 13,865
- Validation Examples: 365
- Test Examples: 365
PPTX Configuration
- Train Examples: 963
- Validation Examples: 53
- Test Examples: 54
RTF Configuration
- Train Examples: 942
- Validation Examples: 52
- Test Examples: 53
TXT Configuration
- Train Examples: 41,393
- Validation Examples: 1,089
- Test Examples: 1,090
Citation
@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.
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