Update README.md

README.md

@@ -177,6 +177,8 @@ pretty_name: C
 
 CrawlPT is a generic Portuguese corpus extracted from various web pages.
 
+This is the raw version. Deduplicated version is [available here](https://huggingface.co/datasets/eduagarcia/CrawlPT_dedup).
+
 ## Dataset Details
 
 Dataset is composed by three corpora:
@@ -186,48 +188,13 @@ Dataset is composed by three corpora:
 - **C100-PT**: Portuguese subset from CC-100. C100 was created for training the multilingual Transformer XLM-R, containing two terabytes of cleaned data from 2018 snapshots of the [Common Crawl project](\url{https://commoncrawl.org/about/) in 100 languages.  We use the , which contains 49.1 GiB of text.
 - **OSCAR-2301-PT**: curation from OSCAR-2301 in the Portuguese language.
 
-  ### Dataset Description
+### Dataset Description
 
-- **Curated by:** [More Information Needed]
-- **Funded by:** [More Information Needed]
 - **Language(s) (NLP):** Brazilian Portuguese (pt-BR)
 - **License:** [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/deed.en)
-
-### Dataset Sources
-
 - **Repository:** https://github.com/eduagarcia/roberta-legal-portuguese
 - **Paper:** [More Information Needed]
 
-## Dataset Structure
-
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-[More Information Needed]
-
-## Data Collection and Processing
-
-Raw corpora sizes in terms of billions of tokens and file size in GiB:
-
-| Corpus          |  Domain | Tokens (B) | Size (GiB) |
-|-----------------|:-------:|:----------:|:----------:|
-| brWaC           | General |     2.7    |    16.3    |
-| CC100 (PT)      | General |     8.4    |    49.1    |
-| OSCAR-2301 (PT) | General |    18.1    |    97.8    |
-
-
-CrawlPT is deduplicated using [MinHash algorithm](https://dl.acm.org/doi/abs/10.5555/647819.736184) and [Locality Sensitive Hashing](https://dspace.mit.edu/bitstream/handle/1721.1/134231/v008a014.pdf?sequence=2&isAllowed=y), following the approach of [Lee et al. (2022)](http://arxiv.org/abs/2107.06499).
-
-We used 5-grams and a signature of size 256, considering two documents to be identical if their Jaccard Similarity exceeded 0.7.
-Deduplicate rate found by the Minhash-LSH algorithm  for the CrawlPT corpus:
-
-| Corpus                 |  Documents | Docs. after deduplicatio} | Duplicates (%) |
-|------------------------|:----------:|:-------------------------:|:--------------:|
-| brWaC                  |  3,530,796 |         3,513,588         |      0.49      |
-| OSCAR-2301 (PT Subset) | 18,031,400 |         10,888,966        |      39.61     |
-| CC100 (PT Subset)      | 38,999,388 |         38,059,979        |      2.41      |
-| Total (CrawlPT)        | 60,561,584 |         52,462,533        |      13.37     |
-
-
 ## Citation
 
 ```bibtex