Add files using upload-large-folder tool

example.py

@@ -12,6 +12,7 @@ each with a `train` and `test` split.
          metadata/test_pairs.csv, each with a seen/unseen condition.
 """
 import csv
+from itertools import islice
 from datasets import load_dataset
 from huggingface_hub import hf_hub_download
 
@@ -29,22 +30,23 @@ wav, sr = clip["audio"]["array"], clip["audio"]["sampling_rate"]   # numpy wavef
 print(f"  designed (streamed): {clip['file_path']} | preset {clip['preset']}")
 
 # -------------------------------------------------------------------- TEST
-# Parallel: pair each source with its reference per metadata/test_pairs.csv.
-sources = load_dataset(REPO, "raw", split="test")            # 120 inputs
-references = load_dataset(REPO, "designed", split="test")    # 5,640 references
+# Parallel: pair each source with its reference. Stream so only the test shards
+# are fetched (test shares a config with the large designed/train split).
+sources = load_dataset(REPO, "raw", split="test", streaming=True)         # 120 inputs
+references = load_dataset(REPO, "designed", split="test", streaming=True)  # 5,640 refs
 
-# index by file_path (selecting a column does not decode audio)
-src_idx = {p: i for i, p in enumerate(sources["file_path"])}
-ref_idx = {p: i for i, p in enumerate(references["file_path"])}
+# the 120 sources are small — collect them for lookup by file_path
+source_by_path = {clip["file_path"]: clip for clip in sources}
 
+# seen/unseen condition per reference (from metadata/test_pairs.csv)
 pairs_csv = hf_hub_download(REPO, "metadata/test_pairs.csv", repo_type="dataset")
-pairs = list(csv.DictReader(open(pairs_csv, encoding="utf-8")))
-print(f"test: {len(pairs)} source -> reference pairs")
+seen_split = {row["reference"]: row["seen_split"]
+              for row in csv.DictReader(open(pairs_csv, encoding="utf-8"))}
 
-for pair in pairs[:3]:
-    source = sources[src_idx[pair["source"]]]          # decodes just this row
-    reference = references[ref_idx[pair["reference"]]]
+for reference in islice(references, 3):
+    source = source_by_path[reference["source"]]   # `source` column = paired input
     src_wav = source["audio"]["array"]
     ref_wav = reference["audio"]["array"]
-    print(f"  [{pair['seen_split']}] {pair['source']} -> {pair['reference']}")
+    print(f"  [{seen_split[reference['file_path']]}] "
+          f"{reference['source']} -> {reference['file_path']}")
     # ... compute your voice-conversion metric between src_wav and ref_wav ...