Snap

vps_clustering_benchmark.py

@@ -1,10 +1,6 @@
-import os
-import json
 import datasets
 import pandas as pd
 import numpy as np
-from typing import List
-from tqdm import tqdm
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -48,6 +44,7 @@ class VPClusteringBenchmark(datasets.GeneratorBasedBuilder):
                 version=VERSION,
                 description="Conversy Benchmark for ML models evaluation",
                 features=["segment_id", "filename", "speaker", "duration", "vp",
+                          "start", "end", "readable_start", "readable_end",
                           "segment_clean"],
                 data_url=_HF_REPO_PATH,
                 nb_data_shards=1)
@@ -64,6 +61,10 @@ class VPClusteringBenchmark(datasets.GeneratorBasedBuilder):
                 "speaker": datasets.Value("string"),
                 "duration": datasets.Value("float32"),
                 "segment_clean": datasets.Value("bool"),
+                "start": datasets.Value("float32"),
+                "end": datasets.Value("float32"),
+                "readable_start": datasets.Value("string"),
+                "readable_end": datasets.Value("string"),
                 "vp": datasets.Sequence(datasets.Value("float32"))
             })
         return datasets.DatasetInfo(
@@ -95,6 +96,9 @@ class VPClusteringBenchmark(datasets.GeneratorBasedBuilder):
                 "speaker": row["speaker"],
                 "duration": row["duration"],
                 "segment_clean": row["segment_clean"],
-                "vp": np.asarray(row["vp"], dtype=np.float32),
-                "aaa": "aaa"
+                "start": row['start'],
+                "end": row['end'],
+                "readable_start": row['readable_start'],
+                "readable_end": row['readable_end'],
+                "vp": np.asarray(row["vp"], dtype=np.float32)
             }