| | --- |
| | dataset_info: |
| | features: |
| | - name: file_name |
| | dtype: string |
| | - name: url_id |
| | dtype: int64 |
| | - name: country |
| | dtype: string |
| | - name: lang |
| | dtype: string |
| | - name: pdf_bytes_base64 |
| | dtype: binary |
| | - name: hosts |
| | struct: |
| | - name: country |
| | dtype: string |
| | - name: host |
| | dtype: string |
| | - name: ip_address |
| | dtype: string |
| | - name: latitude |
| | dtype: float64 |
| | - name: longitude |
| | dtype: float64 |
| | - name: tld |
| | dtype: string |
| | - name: provenance |
| | struct: |
| | - name: cc_detected_mime |
| | dtype: string |
| | - name: cc_digest |
| | dtype: string |
| | - name: cc_http_mime |
| | dtype: string |
| | - name: cc_truncated |
| | dtype: string |
| | - name: cc_warc_end |
| | dtype: int64 |
| | - name: cc_warc_file_name |
| | dtype: string |
| | - name: cc_warc_start |
| | dtype: int64 |
| | - name: fetched_digest |
| | dtype: string |
| | - name: fetched_length |
| | dtype: int64 |
| | - name: fetched_status |
| | dtype: string |
| | - name: url |
| | dtype: string |
| | - name: info |
| | struct: |
| | - name: created |
| | dtype: string |
| | - name: creator |
| | dtype: string |
| | - name: custom_metadata |
| | dtype: string |
| | - name: exit_value |
| | dtype: int64 |
| | - name: form |
| | dtype: string |
| | - name: javascript |
| | dtype: string |
| | - name: metadata_stream |
| | dtype: string |
| | - name: modified |
| | dtype: string |
| | - name: optimized |
| | dtype: string |
| | - name: page_rotation |
| | dtype: float64 |
| | - name: page_size |
| | dtype: string |
| | - name: pages |
| | dtype: float64 |
| | - name: parse_time_millis |
| | dtype: int64 |
| | - name: pdf_version |
| | dtype: float64 |
| | - name: producer |
| | dtype: string |
| | - name: stderr |
| | dtype: string |
| | - name: tagged |
| | dtype: string |
| | - name: timeout |
| | dtype: string |
| | - name: user_properties |
| | dtype: string |
| | - name: tika |
| | struct: |
| | - name: attachment_count |
| | dtype: float64 |
| | - name: container_exception |
| | dtype: string |
| | - name: created |
| | dtype: string |
| | - name: encrypted |
| | dtype: string |
| | - name: has_collection |
| | dtype: string |
| | - name: has_marked_content |
| | dtype: string |
| | - name: has_signature |
| | dtype: string |
| | - name: has_xfa |
| | dtype: string |
| | - name: has_xmp |
| | dtype: string |
| | - name: location |
| | dtype: string |
| | - name: macro_count |
| | dtype: float64 |
| | - name: mime |
| | dtype: string |
| | - name: modified |
| | dtype: string |
| | - name: num_pages |
| | dtype: float64 |
| | - name: parse_status |
| | dtype: string |
| | - name: parse_time_millis |
| | dtype: int64 |
| | - name: pdf_contains_damaged_font |
| | dtype: string |
| | - name: pdf_contains_non_embedded_font |
| | dtype: string |
| | - name: pdf_has_acroform_fields |
| | dtype: string |
| | - name: pdf_incremental_updates |
| | dtype: float64 |
| | - name: pdf_num_3d_annotations |
| | dtype: float64 |
| | - name: pdf_overall_unmapped_unicode_chars |
| | dtype: float64 |
| | - name: pdf_producer |
| | dtype: string |
| | - name: pdf_version |
| | dtype: float64 |
| | - name: pdfa_version |
| | dtype: string |
| | - name: pdfuaid_part |
| | dtype: float64 |
| | - name: pdfvt_version |
| | dtype: float64 |
| | - name: pdfx_conformance |
| | dtype: string |
| | - name: pdfx_version |
| | dtype: string |
| | - name: pdfxid_version |
| | dtype: string |
| | - name: tika_eval_lang |
| | dtype: string |
| | - name: tika_eval_num_alpha_tokens |
| | dtype: float64 |
| | - name: tika_eval_num_tokens |
| | dtype: float64 |
| | - name: tika_eval_oov |
| | dtype: float64 |
| | - name: xmp_creator_tool |
| | dtype: string |
| | - name: tika_attachments |
| | list: |
| | - name: container_exception |
| | dtype: string |
| | - name: created |
| | dtype: string |
| | - name: emb_depth |
| | dtype: int64 |
| | - name: embedded_exception |
| | dtype: float64 |
| | - name: embedded_id |
| | dtype: float64 |
| | - name: embedded_id_path |
| | dtype: string |
| | - name: embedded_resource_type |
| | dtype: string |
| | - name: encrypted |
| | dtype: string |
| | - name: has_collection |
| | dtype: string |
| | - name: has_marked_content |
| | dtype: string |
| | - name: has_signature |
| | dtype: string |
| | - name: has_xfa |
| | dtype: string |
| | - name: has_xmp |
| | dtype: string |
| | - name: location |
| | dtype: string |
| | - name: mime |
| | dtype: string |
| | - name: modified |
| | dtype: string |
| | - name: num_pages |
| | dtype: float64 |
| | - name: parse_status |
| | dtype: string |
| | - name: parse_time_millis |
| | dtype: int64 |
| | - name: pdf_contains_damaged_font |
| | dtype: string |
| | - name: pdf_contains_non_embedded_font |
| | dtype: string |
| | - name: pdf_has_acroform_fields |
| | dtype: string |
| | - name: pdf_incremental_updates |
| | dtype: float64 |
| | - name: pdf_num_3d_annotations |
| | dtype: float64 |
| | - name: pdf_overall_unmapped_unicode_chars |
| | dtype: float64 |
| | - name: pdf_producer |
| | dtype: string |
| | - name: pdf_version |
| | dtype: float64 |
| | - name: pdfa_version |
| | dtype: string |
| | - name: pdfuaid_part |
| | dtype: float64 |
| | - name: pdfvt_version |
| | dtype: float64 |
| | - name: pdfx_conformance |
| | dtype: string |
| | - name: pdfx_version |
| | dtype: string |
| | - name: pdfxid_version |
| | dtype: string |
| | - name: tika_eval_lang |
| | dtype: string |
| | - name: tika_eval_num_alpha_tokens |
| | dtype: float64 |
| | - name: tika_eval_num_tokens |
| | dtype: float64 |
| | - name: tika_eval_oov |
| | dtype: float64 |
| | - name: xmp_creator_tool |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 1840299303 |
| | num_examples: 1000 |
| | download_size: 1756624272 |
| | dataset_size: 1840299303 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | tags: |
| | - PDF |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | # Dataset Card for SAFEDOCS 1k PDF |
| |
|
| | **This dataset is a subset (first 1,000 PDFs) of the original [SAFEDOCS (CC-MAIN-2021-31-PDF-UNTRUNCATED)](https://digitalcorpora.org/corpora/file-corpora/cc-main-2021-31-pdf-untruncated/) merged with the corresponding [metadata](https://digitalcorpora.org/corpora/file-corpora/cc-main-2021-31-pdf-untruncated/cc-main-2021-31-pdf-untruncated-metadata/).** |
| |
|
| | The PDFs in this dataset are found in the `0000.zip` file available [here](https://corp.digitalcorpora.org/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/zipfiles/0000-0999/). The metadata files are available [here](https://corp.digitalcorpora.org/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/metadata/). |
| |
|
| | Each file corresponds to a feature in the dataset: |
| |
|
| | - `hosts`: [cc-hosts-20230324-1k.csv](https://digitalcorpora.s3.amazonaws.com/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/metadata/cc-hosts-20230324-1k.csv) |
| | - `provenance`: [cc-provenance-20230324-1k.csv](https://digitalcorpora.s3.amazonaws.com/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/metadata/cc-provenance-20230324-1k.csv) |
| | - `info`: [pdfinfo-20230324-1k.csv](https://digitalcorpora.s3.amazonaws.com/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/metadata/pdfinfo-20230324-1k.csv) |
| | - `tika`: [tika-20230714-1k.csv](https://digitalcorpora.s3.amazonaws.com/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/metadata/tika-20230714-1k.csv) |
| | - `tika_attachments`: [tika-with-attachments-20230714-1k.csv](https://digitalcorpora.s3.amazonaws.com/corpora/files/CC-MAIN-2021-31-PDF-UNTRUNCATED/metadata/tika-with-attachments-20230714-1k.csv) |
| |
|
| | The PDFs were encoded in base64 and added as the `pdf_bytes_base64` feature. |
| |
|
| | The keys `country` (from `hosts`) and `lang` (from `tika`, as `tika_eval_lang`) were replicated as features to make it easier to filter the data based on origin and language. |
| |
|
| | You can easily and quickly load it: |
| |
|
| | ```python |
| | dataset = load_dataset("dvgodoy/SAFEDOCS_1k") |
| | ``` |
| |
|
| | ``` |
| | Dataset({ |
| | features: ['file_name', 'url_id', 'country', 'lang', 'pdf_bytes_base64', 'hosts', 'provenance', 'info', 'tika', 'tika_attachments'], |
| | num_rows: 1000 |
| | }) |
| | ``` |
| |
|
| | ## Decoding PDFs |
| |
|
| | To handle the PDFs, you will need to decode the `pdf_bytes_base64` feature and load it into a PDF object using your favorite PDF library (e.g. `pdfplumber`): |
| |
|
| | ```python |
| | import io |
| | import pdfplumber |
| | |
| | # load the bytes into your favorite PDF library e.g., `pdfplumber` |
| | for encoded in mini_batch['pdf_bytes_base64']: |
| | bytes_content = io.BytesIO(base64.b64decode(encoded)) |
| | pdf_obj = pdfplumber.open(bytes_content) |
| | # process the PDFs |
| | # ... |
| | # CLOSE the objects after you've used them |
| | bytes_content.close() |
| | pdf_obj.close() |
| | ``` |
| |
|
| | You can use any other library/package to load the PDF, just make sure it can open a PDF from bytes. |
| |
|
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Dataset Creation](#dataset-creation) |
| | - [Curation Rationale](#curation-rationale) |
| | - [Source Data](#source-data) |
| | - [Additional Information](#additional-information) |
| | - [Credits](#credits) |
| | - [Licensing Information](#licensing-information) |
| |
|
| | ## Dataset Description |
| |
|
| | - **Homepage:** [SAFEDOCS (CC-MAIN-2021-31-PDF-UNTRUNCATED)](https://digitalcorpora.org/corpora/file-corpora/cc-main-2021-31-pdf-untruncated/) |
| | - **Repository:** |
| | - **Paper:** [Making more sense of PDF structures in the wild at scale](https://pdfa.org/presentation/making-more-sense-of-pdf-structures-in-the-wild-at-scale/) |
| | - **Leaderboard:** |
| | - **Point of Contact:** |
| |
|
| | ### Dataset Summary |
| |
|
| | The original SAFEDOCS (CC-MAIN-2021-31-PDF-UNTRUNCATED) consists of nearly 8,000,000 PDFs gathered from across the web in July/August of 2021. |
| |
|
| | **This "1k" version contains only the first 1,000 PDFs from the original dataset.** |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | A sample from the training set is provided below : |
| | ``` |
| | { |
| | 'file_name': '0000000.pdf', |
| | 'url_id': 6368476, |
| | 'country': 'US', |
| | 'lang': 'eng', |
| | 'pdf_bytes_base64': b'JVBERi0xLjcKJe...', |
| | 'hosts': { |
| | 'host': 'augustaarchives.com', |
| | 'tld': 'com', |
| | 'ip_address': '66.228.60.224', |
| | 'country': 'US', |
| | 'latitude': 33.7485, |
| | 'longitude': -84.3871 |
| | }, |
| | 'provenance': { |
| | 'url': 'http://augustaarchives.com/cgi-bin/content/view.php?data=ib_math_sl_practice_questions_and_answers&filetype=pdf&id=14310d60ac64f9023c7dbc458f0f7b38', |
| | 'cc_digest': 'H66IGSGFXBJLJIKKN7LSHQSM3YTX4TDF', |
| | 'cc_http_mime': 'application/pdf', |
| | 'cc_detected_mime': 'application/pdf', |
| | 'cc_warc_file_name': 'crawl-data/CC-MAIN-2021-31/segments/1627046154042.23/warc/CC-MAIN-20210731011529-20210731041529-00143.warc.gz', |
| | 'cc_warc_start': 3724499, |
| | 'cc_warc_end': 3742341, |
| | 'cc_truncated': '', |
| | 'fetched_status': 'ADDED_TO_REPOSITORY', |
| | 'fetched_digest': '00000836a41510292765a86e57a80f1e182360ca5c6ff0841482b31c8f25ab84', |
| | 'fetched_length': 29690 |
| | }, |
| | 'info': { |
| | 'parse_time_millis': 385, |
| | 'exit_value': 0, |
| | 'timeout': 'f', |
| | 'stderr': '', |
| | 'pdf_version': 1.7, |
| | 'creator': 'Acrobat 9.0.0', |
| | 'producer': 'Adobe InDesign CC 2015 (Macintosh)|x|Adobe PDF Library 15.0; modified using iText 2.1.7 by 1T3XT', |
| | 'created': '2021-07-31T03:13:33Z', |
| | 'modified': '2021-07-31T03:13:33Z', |
| | 'custom_metadata': 'no', |
| | 'metadata_stream': 'yes', |
| | 'tagged': 'no', |
| | 'user_properties': 'no', |
| | 'form': 'none', |
| | 'javascript': 'no', |
| | 'pages': 12.0, |
| | 'page_size': '297.638 x 419.528 pts', |
| | 'page_rotation': 0.0, |
| | 'optimized': 'no' |
| | }, |
| | 'tika': { |
| | 'parse_status': 'OK', |
| | 'parse_time_millis': 1430, |
| | 'mime': 'application/pdf', |
| | 'macro_count': nan, |
| | 'attachment_count': nan, |
| | 'created': '2021-07-31 03:13:33', |
| | 'modified': '2021-07-31 03:13:33', |
| | 'encrypted': 'f', |
| | 'has_xfa': 'f', |
| | 'has_xmp': 't', |
| | 'has_collection': 'f', |
| | 'has_marked_content': 'f', |
| | 'num_pages': 12.0, |
| | 'xmp_creator_tool': 'Acrobat 9.0.0', |
| | 'pdf_producer': 'Microsoft Word|x|DocuCom PDF Driver 4.61 for NT', |
| | 'pdf_version': 1.7, |
| | 'pdfa_version': '', |
| | 'pdfuaid_part': nan, |
| | 'pdfx_conformance': '', |
| | 'pdfx_version': '', |
| | 'pdfxid_version': '', |
| | 'pdfvt_version': nan, |
| | 'pdf_num_3d_annotations': 0.0, |
| | 'pdf_has_acroform_fields': '', |
| | 'pdf_incremental_updates': 0.0, |
| | 'pdf_overall_unmapped_unicode_chars': 0.0, |
| | 'pdf_contains_damaged_font': 'f', |
| | 'pdf_contains_non_embedded_font': 't', |
| | 'has_signature': '', |
| | 'location': '', |
| | 'tika_eval_num_tokens': 1489.0, |
| | 'tika_eval_num_alpha_tokens': 1344.0, |
| | 'tika_eval_lang': 'eng', |
| | 'tika_eval_oov': 0.2961309552192688, |
| | 'container_exception': '' |
| | }, |
| | 'tika_attachments': [{ |
| | 'parse_status': 'OK', |
| | 'parse_time_millis': 1430, |
| | 'mime': 'application/pdf', |
| | 'emb_depth': 0, |
| | 'embedded_id': nan, |
| | 'embedded_id_path': '', |
| | 'embedded_resource_type': '', |
| | 'created': '2021-07-31 03:13:33', |
| | 'modified': '2021-07-31 03:13:33', |
| | 'encrypted': 'f', |
| | 'has_xfa': 'f', |
| | 'has_xmp': 't', |
| | 'has_collection': 'f', |
| | 'has_marked_content': 'f', |
| | 'num_pages': 12.0, |
| | 'xmp_creator_tool': 'Acrobat 9.0.0', |
| | 'pdf_producer': 'Microsoft Word|x|DocuCom PDF Driver 4.61 for NT', |
| | 'pdf_version': 1.7, |
| | 'pdfa_version': '', |
| | 'pdfuaid_part': nan, |
| | 'pdfx_conformance': '', |
| | 'pdfx_version': '', |
| | 'pdfxid_version': '', |
| | 'pdfvt_version': nan, |
| | 'pdf_num_3d_annotations': 0.0, |
| | 'pdf_has_acroform_fields': '', |
| | 'pdf_incremental_updates': 0.0, |
| | 'pdf_overall_unmapped_unicode_chars': 0.0, |
| | 'pdf_contains_damaged_font': 'f', |
| | 'pdf_contains_non_embedded_font': 't', |
| | 'has_signature': '', |
| | 'location': '', |
| | 'tika_eval_num_tokens': 1489.0, |
| | 'tika_eval_num_alpha_tokens': 1344.0, |
| | 'tika_eval_lang': 'eng', |
| | 'tika_eval_oov': 0.2961309552192688, |
| | 'container_exception': '', |
| | 'embedded_exception': nan |
| | }] |
| | } |
| | ``` |
| |
|
| | ## Dataset Creation |
| |
|
| | ### Curation Rationale |
| |
|
| | PDF is a ubiquitous format and is used across many industrial and research domains. Many existing corpora focusing on extant data (such as GovDocs1) are now quite old and no longer reflect current changes and trends in both PDF itself (as a file format) or in PDF-creating and authoring applications. With advances in machine learning technology, the need for larger data sets is also in high demand. This corpus is thus helpful for: |
| |
|
| | - PDF technology and software testing, assessment, and evaluation |
| | - Information privacy research |
| | - Document understanding, text extraction, table identification, OCR/ICR, formula identification, document recognition and analysis, and related document engineering domains |
| | - Malware and cyber-security research |
| | - ML/AI applications and research (document classification, document content, text extraction, etc) |
| | - Preservation and archival research |
| | - Usability and accessibility research |
| | - Software engineering research (parsing, formal methods, etc.) |
| |
|
| | ### Source Data |
| |
|
| | #### Initial Data Collection and Normalization |
| |
|
| | The PDF files were initially identified by [Common Crawl](https://commoncrawl.org/) as part of their [July/August 2021 crawl](https://commoncrawl.org/2021/08/july-august-2021-crawl-archive-available/) (identified as CC-MAIN-2021-31) and subsequently updated and collated as part of the [DARPA SafeDocs program](https://www.darpa.mil/program/safe-documents). |
| |
|
| | ## Additional Information |
| |
|
| | ### Credits |
| |
|
| | The original dataset was gathered by a team at NASA’s Jet Propulsion Laboratory (JPL), California Institute of Technology while supporting the Defense Advance Research Project Agency (DARPA)’s SafeDocs Program. The JPL team included Chris Mattmann (PI), Wayne Burke, Dustin Graf, Tim Allison, Ryan Stonebraker, Mike Milano, Philip Southam and Anastasia Menshikova. |
| |
|
| | The JPL team collaborated with Peter Wyatt, the Chief Technology Officer of the PDF Association and PI on the SafeDocs program, in the design and documentation of this corpus. |
| |
|
| | The JPL team and PDF Association would like to thank Simson Garfinkel and Digital Corpora for taking ownership of this dataset and publishing it. Our thanks are extended to the [Amazon Open Data Sponsorship Program](https://aws.amazon.com/opendata/open-data-sponsorship-program/) for enabling this large corpus to be free and publicly available as part of Digital Corpora initiative. |
| |
|
| | Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement by the United States Government or the Jet Propulsion Laboratory, California Institute of Technology. |
| |
|
| | The research was carried out at the NASA (National Aeronautics and Space Administration) Jet Propulsion Laboratory, California Institute of Technology under a contract with the Defense Advanced Research Projects Agency (DARPA) SafeDocs program. Government sponsorship acknowledged. |
| |
|
| | ### Licensing Information |
| |
|
| | - [Common Crawl](https://commoncrawl.org/terms-of-use) |
| | - [Digital Corpora](https://digitalcorpora.org/about-digitalcorpora/terms-of-use/) |
