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README.md

@@ -94,59 +94,45 @@ The Language Identification dataset contains text in 20 languages, which are:
 
 ### Data Instances
 
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+For each instance, there is a string for the text and a string for the label (the language tag). Here is an example:
+
+`{'labels': 'fr', 'text': 'Conforme à la description, produit pratique.'}`
+
 
 ### Data Fields
 
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+- **labels:** a string indicating the language label.
+- **text:** a string consisting of one or more sentences in one of the 20 languages listed above.
 
 ### Data Splits
 
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+The Language Identification dataset has 3 splits: *train*, *valid*, and *test*. 
+The train set contains 70k samples, while the validation and test sets 10k each. 
+All splits are perfectly balanced: the train set contains 3500 samples per language, while the validation and test sets 500. 
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-[More Information Needed]
+This dataset was built during *The Hugging Face Course Community Event*, which took place in November 2021, with the goal of collecting a dataset with enough samples for each language to train a robust language detection model.
 
 ### Source Data
 
-#### Initial Data Collection and Normalization
-
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-
-#### Who are the source language producers?
-
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-
-### Annotations
-
-#### Annotation process
-
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-
-#### Who are the annotators?
-
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+The Language Identification dataset was created by collecting data from 3 sources: [Multilingual Amazon Reviews Corpus](https://huggingface.co/datasets/amazon_reviews_multi), [XNLI](https://huggingface.co/datasets/xnli), and [STSb Multi MT](https://huggingface.co/datasets/stsb_multi_mt).
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+The dataset does not contain any personal information about the authors or the crowdworkers.
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+This dataset was developed as a benchmark for evaluating (balanced) multi-class text classification models.
 
 ### Discussion of Biases
 
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-
-### Other Known Limitations
-
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+The possible biases correspond to those of the 3 datasets on which this dataset is based.
 
 ## Additional Information
 
@@ -164,4 +150,4 @@ The Language Identification dataset contains text in 20 languages, which are:
 
 ### Contributions
 
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
+Thanks to [@LucaPapariello](https://github.com/LucaPapariello) for adding this dataset.