Update README.md

README.md

@@ -82,7 +82,7 @@ task_ids:
 
 ### Dataset Summary
 
-This is the dataset card for the Hungarian translation of the Winograd schemas formatted as an inference task. A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its resolution (Levesque et al. 2012). This dataset is also part of the Hungarian Language Understanding Evaluation Benchmark Kit [HuLU](hulu.nlp.nytud.hu). The corpus was created by translating and manually curating the original English Winograd schemata. The NLI format was created by replacing the ambiguous pronoun with each possible referent (the method is described in GLUE's paper, Wang et al. 2019). 
+This is the dataset card for the Hungarian translation of the Winograd schemata formatted as an inference task. A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its resolution (Levesque et al. 2012). This dataset is also part of the Hungarian Language Understanding Evaluation Benchmark Kit [HuLU](hulu.nlp.nytud.hu). The corpus was created by translating and manually curating the original English Winograd schemata. The NLI format was created by replacing the ambiguous pronoun with each possible referent (the method is described in GLUE's paper, Wang et al. 2019). We extended the set of sentence pairs derived from the schemata by the translation of the sentence pairs that - together with the Winograd schema sentences - build up the WNLI dataset of GLUE. 
 
 ### Languages
 
@@ -92,7 +92,7 @@ The BCP-47 code for Hungarian, the only represented language in this dataset, is
 
 ### Data Instances
 
-For each instance, there is a schema, an id, two sentences and a label. 
+For each instance, there is an orig_id, an id, two sentences and a label. 
 
 An example:
 
@@ -108,19 +108,19 @@ An example:
 ```
 
 ### Data Fields
-- schema: the number of the original schema this sentence pair was derived from;
+- orig_id: the original id of this sentence pair (more precisely, its English counterpart's) in GLUE's WNLI dataset;
 
 - id: unique id of the instances;
 
-- sentence1: the original sentence of the schema with one of the two alternate words;
+- sentence1: the premise;
 
-- sentence2: a manually formed question;  
+- sentence2: the hypothesis;  
 
 - Label: "1" if sentence2 is entailed by sentence1, and "0" otherwise.
 
 ### Data Splits
 
-The data is distributed without any predefined splits.
+The data is distributed in three splits: training set (541), development set (53) and test set (134). The splits follow GLUE's WNLI's splits, but contain less instances as many sentence pairs had to be thrown away for being untranslatable to Hungarian. 
 
 ## Dataset Creation
 
@@ -128,13 +128,16 @@ The data is distributed without any predefined splits.
 
 #### Initial Data Collection and Normalization
 
-The data is a translation of the English Winograd schemas. Each schema was translated by a human translator. Each translation was manually checked and further refined by another annotator. Each schema was manually curated by a linguistic expert. The schemata were transformed into nli format by a linguistic expert.
+The data is a translation of the English Winograd schemata and the additional sentence pairs of GLUE's WNLI. Each schema and sentence pair was translated by a human translator. Each schema was manually curated by a linguistic expert. The schemata were transformed into nli format by a linguistic expert.
+
+During the adaption method, we found two erroneous labels in GLUE's WNLI's train set (id 347 and id 464). We corrected them in our dataset.
+
 
 ## Additional Information
 
 ### Licensing Information
 
-HuWSC is released under the BCreative Commons Attribution-ShareAlike 4.0 International License.
+HuWNLI is released under the Creative Commons Attribution-ShareAlike 4.0 International License.
 
 
 ### Citation Information