Upload knessetCorpus.py

knessetCorpus.py

@@ -356,6 +356,10 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
             ]
 
     def _generate_examples(self, data_files):
+        """
+        Generate examples for both streaming and non-streaming modes.
+        Handles `.bz2` and `.zip` files based on mode.
+        """
         if "all_features_sentences" in self.config.name:
             id_field_name = "sentence_id"
         elif self.config.name == "protocols":
@@ -364,67 +368,59 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
             id_field_name = "faction_id"
         elif self.config.name == "knessetMembers":
             id_field_name = "person_id"
+        else:
+            id_field_name = "id"  # Default for generic configurations
 
         for filepath in data_files:
             try:
-                # Streaming mode: Handle URLs directly
-                if filepath.startswith("http"):
-                    with datasets.utils.stream_files(filepath) as f:
+                if filepath.endswith(".bz2"):
+                    # Stream `.bz2` file
+                    with bz2.open(filepath, "rt", encoding="utf-8") as f:
                         for line_number, line in enumerate(f):
                             yield from self._process_line(line, id_field_name, line_number, filepath)
+                elif filepath.endswith(".zip"):
+                    # Stream `.zip` file
+                    with zipfile.ZipFile(filepath, "r") as archive:
+                        for filename in archive.namelist():
+                            with archive.open(filename) as f:
+                                for line_number, line in enumerate(io.TextIOWrapper(f, encoding="utf-8")):
+                                    yield from self._process_line(line, id_field_name, line_number, filename)
                 else:
-                    # Non-streaming mode: Handle local files
-                    if filepath.endswith(".bz2"):
-                        with bz2.open(filepath, "rt", encoding="utf-8") as f:
-                            for line_number, line in enumerate(f):
-                                yield from self._process_line(line, id_field_name, line_number, filepath)
-                    elif filepath.endswith(".zip"):
-                        with zipfile.ZipFile(filepath, "r") as archive:
-                            for filename in archive.namelist():
-                                with archive.open(filename) as f:
-                                    for line_number, line in enumerate(io.TextIOWrapper(f, encoding="utf-8")):
-                                        yield from self._process_line(line, id_field_name, line_number, filename)
-                    else:
-                        with open(filepath, "rt", encoding="utf-8") as f:
-                            for line_number, line in enumerate(f):
-                                yield from self._process_line(line, id_field_name, line_number, filepath)
-
+                    # Stream `.jsonl` or other uncompressed files
+                    with open(filepath, "rt", encoding="utf-8") as f:
+                        for line_number, line in enumerate(f):
+                            yield from self._process_line(line, id_field_name, line_number, filepath)
             except Exception as e:
                 print(f"Error processing file '{filepath}': {e}. Skipping.")
 
-
-
-
-
-
-def _process_line(self, line, id_field_name, line_number, filepath):
-    """
-    Process a single line of input, handling JSON decoding and nested structures.
-    """
-    try:
-        row = json.loads(line)
-    except json.JSONDecodeError as e:
-        print(f"Failed to decode JSON at line {line_number} in file {filepath}: {e}. Skipping.")
-        return
-
-    # Extract the ID field
-    id_ = row.get(id_field_name, f"unknown_{line_number}")
-    if not id_:
-        print(f"Key '{id_field_name}' not found in row at line {line_number}. Skipping row.")
-        return
-
-    # Prepare the sample dictionary
-    sample = {feature: row.get(feature, None) for feature in self._info().features}
-
-    # Handle nested structures (e.g., `protocol_sentences`)
-    if "protocol_sentences" in row:
-        protocol_sentences = row.get("protocol_sentences", [])
-        for sentence in protocol_sentences:
-            sentence_id = sentence.get("sentence_id", None)
-            if sentence_id:
-                yield sentence_id, sentence
-    else:
+    def _process_line(self, line, id_field_name, line_number, filepath):
+        """
+        Process a single line of input, handling JSON decoding and nested structures.
+        """
         try:
-            yield id_, sample
-        except Exception as e:
-            print(f"Failed to yield sample at line {line_number} in file {filepath}. Error: {e}. Sample: {sample}.")
+            row = json.loads(line)
+        except json.JSONDecodeError as e:
+            print(f"Failed to decode JSON at line {line_number} in file {filepath}: {e}. Skipping.")
+            return
+
+        # Extract the ID field
+        id_ = row.get(id_field_name, f"unknown_{line_number}")
+        if not id_:
+            print(f"Key '{id_field_name}' not found in row at line {line_number}. Skipping row.")
+            return
+
+        # Prepare the sample dictionary
+        sample = {feature: row.get(feature, None) for feature in self._info().features}
+
+        # Handle nested structures (e.g., `protocol_sentences`)
+        if "protocol_sentences" in row:
+            protocol_sentences = row.get("protocol_sentences", [])
+            for sentence in protocol_sentences:
+                sentence_id = sentence.get("sentence_id", None)
+                if sentence_id:
+                    yield sentence_id, sentence
+        else:
+            try:
+                yield id_, sample
+            except Exception as e:
+                print(f"Failed to yield sample at line {line_number} in file {filepath}. Error: {e}. Sample: {sample}.")