Update README.md

README.md

@@ -38,17 +38,6 @@ task_ids:
     - [Data Splits](#data-splits)
   - [Dataset Creation](#dataset-creation)
     - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Annotations](#annotations)
-      - [Annotation process](#annotation-process)
-      - [Who are the annotators?](#who-are-the-annotators)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-  - [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Social Impact of Dataset](#social-impact-of-dataset)
-    - [Discussion of Biases](#discussion-of-biases)
-    - [Other Known Limitations](#other-known-limitations)
   - [Additional Information](#additional-information)
     - [Dataset Curators](#dataset-curators)
     - [Licensing Information](#licensing-information)
@@ -80,7 +69,7 @@ for config in ("random", "stepwise", "gaussian"):
         print(config, sample)
         break       
 ```
-Alternatively, you can bypass the `datasets` library and quickly download (~1.5hrs, depending on connection) a specific config in the same order used to pre-train BERTIN models in a massive (~200GB) JSON-lines files:
+Alternatively, you can bypass the `datasets` library and quickly download (\~1.5hrs, depending on connection) a specific config in the same order used to pre-train BERTIN models in a massive (\~200GB) JSON-lines files:
 
 ```python
 import io
@@ -110,7 +99,8 @@ def main(config="stepwise"):
             with gzip.open(bio, "rt", encoding="utf8") as g:
                 for line in g:
                     json_line = json.loads(line.strip())
-                    f.write(json.dumps(json_line) + "\n")
+                    f.write(json.dumps(json_line) + "\
+")
 
 
 if __name__ == "__main__":
@@ -159,51 +149,13 @@ The split `validation` is exactly the same as the original `mc4` dataset.
 
 ### Curation Rationale
 
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
+This dataset was built from the original [`mc4`](https://huggingface.co/datasets/mc4) by applying perplexity-sampling via [`mc4-sampling`](https://huggingface.co/datasets/bertin-project/mc4-sampling) for Spanish.
 
 ## Additional Information
 
 ### Dataset Curators
 
-[More Information Needed]
+Original data by [Common Crawl](https://commoncrawl.org/).
 
 ### Licensing Information
 
@@ -224,6 +176,6 @@ AllenAI are releasing this dataset under the terms of ODC-BY. By using this, you
 
 ### Contributions
 
-Dataset contributed by [@versae](https://github.com/versae).
+Dataset contributed by [@versae](https://github.com/versae) for BERTIN Project.
 
 Thanks to [@dirkgr](https://github.com/dirkgr) and [@lhoestq](https://github.com/lhoestq) for adding the original mC4 dataset.