Minor modifications

README.md

@@ -123,8 +123,8 @@ data = load_dataset("GEM/opusparcus", lang="de")
 
 The above command will download the validation and test sets for
 German. If additionally, you want to retrieve training data, you need
-to specify the level of quality you desire, such as "90% quality training data of
-French":
+to specify the level of quality you desire, such as "French, with 90%
+quality of the training data":
 
 ```
 data = load_dataset("GEM/opusparcus", lang="fr", quality=90)
@@ -283,55 +283,85 @@ and largest (`quality=60`) train configuration have been shown.
 
 ### Curation Rationale
 
-TBA
+Opusparcus was created in order to produce a *sentential* paraphrase corpus
+for multiple languages containing *colloquial* language (as opposed to
+news or religious text, for instance).
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-TBA
+The data in Opusparcus has been extracted from
+[OpenSubtitles2016](http://opus.nlpl.eu/OpenSubtitles2016.php), which
+is in turn based on data from http://www.opensubtitles.org/.
+
+The sentences have been tokenized.
 
 #### Who are the source language producers?
 
-TBA
+The texts consist of subtitles that have been produced using
+crowdsourcing.
 
 ### Annotations
 
 #### Annotation process
 
-TBA
+The development and test sets consist of sentence
+pairs that have been annotated manually; each set contains
+approximately 1000 sentence pairs that have been verified to be
+acceptable paraphrases by two indepedent annotators.
+
+The `annot_score` field reflects the judgments made by the annotators.
+If ´the annnotators fully agreed on the category (4.0: dark green,
+3.0: light green, 2.0: yellow, 1.0: red), the value of
+`annot_score` is 4.0, 3.0, 2.0 or 1.0.  If the two annotators
+chose adjacent categories, the value in this field will be 3.5, 2.5 or
+1.5.  For instance, a value of 2.5 means that one annotator gave a
+score of 3 ("mostly good"), indicating a possible paraphrase pair,
+whereas the other annotator scored this as a 2 ("mostly bad"), that
+is, unlikely to be a paraphrase pair.  If the annotators disagreed by
+more than one category, the sentence pair was discarded and won't show
+up in the datasets.
 
 #### Who are the annotators?
 
-TBA
+Students and staff at the University of Helsinki (native or very
+proficient speakers of the target languages)
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+The datasets do not contain any personal or sensitive information.
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+The goal of Opusparcus is to promote the support for colloquial language.
 
 ### Discussion of Biases
 
-[More Information Needed]
+The data reflect the biases present in the movies and TV shows that
+have been subtitled.
 
 ### Other Known Limitations
 
-[More Information Needed]
+The sentence pairs in the validation and test sets have been selected
+in such a manner that their Levenshtein distance (minimum edit
+distance) exceeds a certain theshold. This guarantees that the manual
+annotation effort focuses on "interesting" sentence pairs rather than
+trivial variations (such as "It is good." vs. "It's good."). The
+training sets, however, have not been prefiltered in this manner and
+thus also contain highly similar sentences.
 
 ## Additional Information
 
 ### Dataset Curators
 
-TBA
+Mathias Creutz, University of Helsinki, Finland
 
 ### Licensing Information
 
-[More Information Needed]
+CC-BY-NC 4.0
 
 ### Citation Information