Update README.md

Completing missing fields of the dataset card.

README.md

@@ -87,66 +87,100 @@ Labels can be "entailment" if the premise entails the hypothesis, "contradiction
 
 ### Data Fields
 
-[Needs More Information]
+gold_label: A string defining the relation between the sentence pair. Labels can be "entailment" if the premise entails the hypothesis, "contradiction" if it contradicts it or "neutral" if it neither implies it nor denies it.
+
+pairID: A string identifying a pair sentence. It was inherited from the original datasets. NOTE: For the moment we are having trouble loading this column so we replaced every string with an int 0 as a placeholder. We hope to have the pairID back up soon.
+
+sentence1: A string containing one sentence in Spanish, the premise. (See gold_label.)
+
+sentence2: A string containing one sentence in Spanish, the hypothesis. (See gold_label.)
 
 ### Data Splits
 
-[Needs More Information]
+The whole dataset was used for training. We did not use an evaluation split as we used the SemEval-2015 Task 2.
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-[Needs More Information]
+This corpus was built to remedy the scarcity of annotated Spanish-language datasets for NLI. It was generated by translating from the SNLI original dataset to Spanish using Argos. While machine translation is far from an ideal source for semantic classification, it is an aid to enlarging the data available.
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-[Needs More Information]
+Please refer to the respective documentations of the original datasets:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
+
 
 #### Who are the source language producers?
 
-[Needs More Information]
+Please refer to the respective documentations of the original datasets:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 ### Annotations
 
 #### Annotation process
 
-[Needs More Information]
+Please refer to the respective documentations of the original datasets:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 #### Who are the annotators?
 
-[Needs More Information]
+Please refer to the respective documentations of the original datasets:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 ### Personal and Sensitive Information
 
-[Needs More Information]
+In general, no sensitive information is conveyed in the sentences.
+Please refer to the respective documentations of the original datasets:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[Needs More Information]
+The purpose of this dataset is to offer new tools for semantic textual similarity analysis of Spanish sentences.
 
 ### Discussion of Biases
 
-[Needs More Information]
+Please refer to the respective documentations of the original datasets:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 ### Other Known Limitations
 
-[Needs More Information]
+The translation of the sentences was mostly unsupervised and may introduce some noise in the corpus. Machine translation from an English-language corpus is likely to generate syntactic and lexical forms that differ from those a human Spanish speaker would produce.
+For discussion on the biases and limitations of the original datasets, please refer to their respective documentations:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 ## Additional Information
 
 ### Dataset Curators
 
-[Needs More Information]
+The nli-es dataset was put together by Anibal Pérez, Lautaro Gesuelli, Mauricio Mazuecos and Emilio Tomás Ariza.
 
 ### Licensing Information
 
-[Needs More Information]
+This corpus is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0).
+Please refer to the respective documentations of the original datasets for information on their licenses:
+https://nlp.stanford.edu/projects/snli/
+https://arxiv.org/pdf/1809.05053.pdf
+https://cims.nyu.edu/~sbowman/multinli/
 
 ### Citation Information
 
-[Needs More Information]
+If you need to cite this dataset, you can link to this readme.