Datasets:
Tasks:
Image-to-Text
Modalities:
Text
Formats:
webdataset
Languages:
English
Size:
1K - 10K
License:
license: other | |
license_name: pdfa-eng-train | |
license_link: LICENSE | |
task_categories: | |
- image-to-text | |
size_categories: | |
- 10M<n<100M | |
# Dataset Card for PDF Association dataset (PDFA) | |
## Dataset Description | |
- **Point of Contact from curators:** [Peter Wyatt, PDF Association CTO](mailto:peter.wyatt@pdfa.org) | |
- **Point of Contact Hugging Face:** [Pablo Montalvo](mailto:pablo@huggingface.co) | |
### Dataset Summary | |
PDFA dataset is a document dataset filtered from the SafeDocs corpus, aka CC-MAIN-2021-31-PDF-UNTRUNCATED, with 48 million pages kept as valid samples. | |
Each document exists as a pairing of a pdf and a json file containing extensive OCR annotation as well as metadata information about rendering times. The filterings and packaging in | |
webdataset format are tailored towards multimodal machine learning at scale, specifically image-to-text tasks. | |
In this dataset, an additional filtering has been done to restrict documents to the english language to 18.6 million pages over 2.16 million documents | |
Further, the metadata for each document has been formatted in the same way as `https://huggingface.co/datasets/pixparse/IDL-wds`. | |
### Usage | |
This instance of PDFA is in [webdataset](https://github.com/webdataset/webdataset/commits/main) .tar format. | |
It can be used with webdataset library or current releases of Hugging Face `datasets` library. It can also be streamed directly from the hub that way. | |
```python | |
from datasets import load_dataset | |
pdfa_english = load_dataset('pixparse/pdfa-english-train', streaming=True) | |
print(next(iter(dataset['train'])).keys()) | |
>> dict_keys(['__key__', '__url__', 'json', 'pdf']) | |
``` | |
Further, a metadata file `_pdfa-english-train-info-minimal.json` contains the list of samples per shard, with same basename and `.json` or `.pdf` extension, | |
as well as the count of files per shard. | |
### Data Splits | |
#### Train | |
* `pdfa-eng-train-*.tar` | |
* Downloaded on 2024/01/22 | |
* 1800 shards, 2,159,433 samples, 18,686,346 pages, 5,997,818,991 words | |
## Additional Information | |
### Dataset Curators | |
Pablo Montalvo, Ross Wightman | |
### Licensing Information | |
Data has been filtered from the original corpus. As a consequence, users should note [Common Crawl's license and terms of use](https://commoncrawl.org/terms-of-use) and the [Digital Corpora project's Terms of Use](https://digitalcorpora.org/about-digitalcorpora/terms-of-use/). | |
### Citation Information | |
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