Update README.md

README.md

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 ---
-license: apache-2.0
+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:[email protected])
+- **Point of Contact Hugging Face:** [Pablo Montalvo](mailto:[email protected])
+
+### 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
+??