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.idea/workspace.xml

@@ -59,7 +59,7 @@
       <option name="number" value="Default" />
       <option name="presentableId" value="Default" />
       <updated>1748334702944</updated>
-      <workItem from="1748334704041" duration="1371000" />
+      <workItem from="1748334704041" duration="2124000" />
     </task>
     <servers />
   </component>

audio_pl.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1147c3e27593782716646e3223a8f491d4f25d13f954b1bc0ba07c7be878729
+size 107509760

pl_debates_test.py

@@ -1,3 +1,6 @@
+# coding=utf-8
+# pl_debates_test.py
+
 import os
 import csv
 import datasets
@@ -10,21 +13,34 @@ _CITATION = """
 }
 """
 
+# Replace YOUR-USER/YOUR-REPO with your actual namespace/repo
+_BASE_URL       = "https://huggingface.co/datasets/directtt/pl_debates_test/resolve/main/"
+_TRANSCRIPT_URL = _BASE_URL + "transcript/pl/test.tsv"
+_AUDIO_TAR_URL  = _BASE_URL + "audio_pl.tar"
+
 
 class PlDebatesTest(datasets.GeneratorBasedBuilder):
     """Polish politicians’ speech audio dataset."""
 
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="pl_debates_test",
+            version=datasets.Version("1.0.0"),
+            description="Studio‐recorded short utterances by Polish politicians.",
+        )
+    ]
+
     def _info(self):
         return datasets.DatasetInfo(
-            description="Studio-recorded short utterances by Polish politicians.",
+            description="Studio‐recorded short utterances by Polish politicians.",
             features=datasets.Features({
-                "path": datasets.Value("string"),
-                "audio": datasets.Audio(sampling_rate=16_000),
-                "sentence": datasets.Value("string"),
-                "age": datasets.Value("int32"),
-                "gender": datasets.ClassLabel(names=["male", "female"]),
+                "path":        datasets.Value("string"),
+                "audio":       datasets.Audio(sampling_rate=16_000),
+                "sentence":    datasets.Value("string"),
+                "age":         datasets.Value("int32"),
+                "gender":      datasets.ClassLabel(names=["male", "female", "unknown"]),
                 "speech_type": datasets.Value("string"),
-                "source": datasets.Value("string"),
+                "source":      datasets.Value("string"),
             }),
             supervised_keys=None,
             homepage="https://huggingface.co/datasets/directtt/pl_debates_test",
@@ -32,28 +48,34 @@ class PlDebatesTest(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_dir = os.path.abspath(os.path.dirname(__file__))
+        # Download & extract both the TSV and the audio tarball
+        downloaded = dl_manager.download_and_extract({
+            "tsv": _TRANSCRIPT_URL,
+            "tar": _AUDIO_TAR_URL,
+        })
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"data_dir": data_dir},
+                gen_kwargs={
+                    "tsv_path":   downloaded["tsv"],
+                    "audio_root": downloaded["tar"],  # now contains audio/pl/…
+                },
             ),
         ]
 
-    def _generate_examples(self, data_dir):
-        # load metadata from TSV
-        tsv_path = os.path.join(data_dir, "transcript", "pl", "test.tsv")
+    def _generate_examples(self, tsv_path, audio_root):
+        # 1) Load the metadata from the TSV
         meta = {}
         with open(tsv_path, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t")
             for row in reader:
                 meta[row["path"]] = row
 
-        # iterate over audio files
+        # 2) Walk the unpacked audio directory
         key = 0
-        audio_root = os.path.join(data_dir, "audio", "pl")
-        for speaker in sorted(os.listdir(audio_root)):
-            sp_dir = os.path.join(audio_root, speaker)
+        pl_root = os.path.join(audio_root, "audio", "pl")
+        for speaker in sorted(os.listdir(pl_root)):
+            sp_dir = os.path.join(pl_root, speaker)
             if not os.path.isdir(sp_dir):
                 continue
             for fname in sorted(os.listdir(sp_dir)):
@@ -62,14 +84,15 @@ class PlDebatesTest(datasets.GeneratorBasedBuilder):
                 rel_path = os.path.join("audio", "pl", speaker, fname)
                 row = meta.get(rel_path)
                 if row is None:
+                    # no transcript entry for this file
                     continue
                 yield key, {
-                    "path": rel_path,
-                    "audio": rel_path,
-                    "sentence": row["sentence"],
-                    "age": int(row.get("age", -1)),
-                    "gender": row.get("gender", "unknown") or "unknown",
-                    "speech_type":  row["speech_type"],
-                    "source": row["source"],
+                    "path":        rel_path,
+                    "audio":       os.path.join(sp_dir, fname),
+                    "sentence":    row["sentence"],
+                    "age":         int(row.get("age", -1)),
+                    "gender":      row.get("gender", "unknown") or "unknown",
+                    "speech_type": row["speech_type"],
+                    "source":      row["source"],
                 }
                 key += 1