Update IN22-Conv.py

IN22-Conv.py

@@ -1,5 +1,5 @@
 # coding=utf-8
-"""The IN-22 Conv Evaluation Benchmark for evaluation of Machine Translation for Indic Languages."""
+"""The IN-22 Gen Evaluation Benchmark for evaluation of Machine Translation for Indic Languages."""
 
 import os
 import sys
@@ -19,8 +19,7 @@ _CITATION = """
 
 _DESCRIPTION = """\
 IN-22 is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages. 
-IN22-Conv is the conversation domain subset of IN22. It is designed to assess translation quality in typical day-to-day conversational-style applications. 
-Currently, we use it for sentence-level evaluation of MT systems but can be repurposed for document translation evaluation as well.
+IN22-Gen is a general-purpose multi-domain evaluation subset of IN22. It has been created from two sources: Wikipedia and Web Sources offering diverse content spanning news, entertainment, culture, legal, and India-centric topics.
 """
 
 _HOMEPAGE = "https://github.com/AI4Bharat/IndicTrans2"
@@ -40,7 +39,7 @@ _LANGUAGES = [
 
 _URL = "https://indictrans2-public.objectstore.e2enetworks.net/IN22_benchmark.tar.gz"
 
-_SPLITS = ["conv"]
+_SPLITS = ["gen"]
 
 _SENTENCES_PATHS = {
     lang: {
@@ -64,8 +63,8 @@ def _pairings(iterable, r=2):
             yield p
 
 
-class IN22ConvConfig(datasets.BuilderConfig):
-    """BuilderConfig for the IN-22 Conv evaluation subset."""
+class IN22GenConfig(datasets.BuilderConfig):
+    """BuilderConfig for the IN-22 Gen evaluation subset."""
     def __init__(self, lang: str, lang2: str = None, **kwargs):
         """
         Args:
@@ -76,24 +75,24 @@ class IN22ConvConfig(datasets.BuilderConfig):
         self.lang2 = lang2
 
 
-class IN22Conv(datasets.GeneratorBasedBuilder):
-    """IN-22 Conv evaluation subset."""
+class IN22Gen(datasets.GeneratorBasedBuilder):
+    """IN-22 Gen evaluation subset."""
 
     BUILDER_CONFIGS = [
-        IN22ConvConfig(
+        IN22GenConfig(
             name=lang,
             description=f"IN-22: {lang} subset.",
             lang=lang
         )
         for lang in _LANGUAGES
     ] +  [
-        IN22ConvConfig(
+        IN22GenConfig(
             name="all",
             description=f"IN-22: all language pairs",
             lang=None
         )
     ] +  [
-        IN22ConvConfig(
+        IN22GenConfig(
             name=f"{l1}-{l2}",
             description=f"IN-22: {l1}-{l2} aligned subset.",
             lang=l1,
@@ -104,14 +103,12 @@ class IN22Conv(datasets.GeneratorBasedBuilder):
     def _info(self):
         features = {
             "id": datasets.Value("int32"),
-            "doc_id": datasets.Value("int32"),
-            "sent_id": datasets.Value("int32"),
-            "topic": datasets.Value("string"),
+            "context": datasets.Value("string"),
+            "source": datasets.Value("string"),
+            "url": datasets.Value("string"),
             "domain": datasets.Value("string"),
-            "prompt": datasets.Value("string"),
-            "scenario": datasets.Value("string"),
-            "speaker": datasets.Value("int32"),
-            "turn": datasets.Value("int32")
+            "num_words": datasets.Value("int32"),
+            "bucket": datasets.Value("string")
         }
         if self.config.name != "all" and "-" not in self.config.name:
             features["sentence"] = datasets.Value("string")
@@ -153,8 +150,8 @@ class IN22Conv(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, sentence_paths: Union[str, List[str]], metadata_path: str, langs: Optional[List[str]] = None):
         """Yields examples as (key, example) tuples."""
         if isinstance(sentence_paths, str):
-            with open(sentence_paths, "r") as sentences_file:
-                with open(metadata_path, "r") as metadata_file:
+            with open(sentence_paths, "r",encoding="utf-8") as sentences_file:
+                with open(metadata_path, "r",encoding="utf-8") as metadata_file:
                     metadata_lines = [l.strip() for l in metadata_file.readlines()[1:]]
                     for id_, (sentence, metadata) in enumerate(
                         zip(sentences_file, metadata_lines)
@@ -164,14 +161,12 @@ class IN22Conv(datasets.GeneratorBasedBuilder):
                         yield id_, {
                             "id": id_ + 1,
                             "sentence": sentence,
-                            "doc_id": metadata[0],
-                            "sent_id": metadata[1],
-                            "topic": metadata[2],
+                            "context": metadata[0],
+                            "source": metadata[1],
+                            "url": metadata[2],
                             "domain": metadata[3],
-                            "prompt": metadata[4],
-                            "scenario": metadata[5],
-                            "speaker": metadata[6],
-                            "turn": metadata[7]
+                            "num_words": metadata[4],
+                            "bucket": metadata[5]
                         }
         else:
             sentences = {}
@@ -180,23 +175,21 @@ class IN22Conv(datasets.GeneratorBasedBuilder):
             else:
                 langs = [self.config.lang, self.config.lang2]
             for path, lang in zip(sentence_paths, langs):
-                with open(path, "r") as sent_file:
+                with open(path, "r",encoding="utf-8") as sent_file:
                     sentences[lang] = [l.strip() for l in sent_file.readlines()]
-            with open(metadata_path, "r") as metadata_file:
+            with open(metadata_path, "r",encoding="utf-8") as metadata_file:
                 metadata_lines = [l.strip() for l in metadata_file.readlines()[1:]]
             for id_, metadata in enumerate(metadata_lines):
                 metadata = metadata.split("\t")
                 yield id_, {
                     **{
                         "id": id_ + 1,
-                        "doc_id": metadata[0],
-                        "sent_id": metadata[1],
-                        "topic": metadata[2],
+                        "context": metadata[0],
+                        "source": metadata[1],
+                        "url": metadata[2],
                         "domain": metadata[3],
-                        "prompt": metadata[4],
-                        "scenario": metadata[5],
-                        "speaker": metadata[6],
-                        "turn": metadata[7]
+                        "num_words": metadata[4],
+                        "bucket": metadata[5] 
                     }, **{
                         f"sentence_{lang}": sentences[lang][id_]
                         for lang in langs