updating data with category information

README.md

@@ -40,7 +40,7 @@ The dataset contains the following test split:
 
 | Split      | # documents |     #words | # keyphrases | % Present | % Reordered | % Mixed | % Unseen |
 | :--------- |------------:|-----------:|-------------:|----------:|------------:|--------:|---------:|
-| Test       |         400 |      156.9 |        11.81 |     40.60 |        7.32 |   19.28 |    32.80 |
+| Test       |         399 |      156.9 |        11.81 |     40.60 |        7.32 |   19.28 |    32.80 |
 
 The following data fields are available :
 
@@ -49,6 +49,7 @@ The following data fields are available :
 - **abstract**: abstract of the document.
 - **keyphrases**: list of reference keyphrases.
 - **prmu**: list of <u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen categories for reference keyphrases.
+- **category**: category of the document, i.e. chimie (chemistry), archeologie (archeology), linguistique (linguistics) and scienceInfo (information sciences).
 
 ## References
 

termith-eval.py

@@ -77,6 +77,7 @@ class Wikinews(datasets.GeneratorBasedBuilder):
                     "abstract": datasets.Value("string"),
                     "keyphrases": datasets.features.Sequence(datasets.Value("string")),
                     "prmu": datasets.features.Sequence(datasets.Value("string")),
+                    "category": datasets.Value("string"),
                 }
             )
         return datasets.DatasetInfo(
@@ -129,5 +130,6 @@ class Wikinews(datasets.GeneratorBasedBuilder):
                     "abstract": data["abstract"],
                     "keyphrases":  data["keyphrases"],
                     "prmu": data["prmu"],
+                    "category": data["category"],
                 }