File size: 2,198 Bytes
64ac96d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | #!/usr/bin/env python3
"""Example: Validate schema and timeline sanity for one row."""
from datasets import load_dataset
REPO = "skyzhou06/StreamingOmniDatasets"
REQUIRED_FIELDS = [
"id", "dataset", "task_family", "source_dataset", "source_id",
"split", "duration_sec", "modalities", "timeline", "evidence",
"quality", "metadata",
]
TIMELINE_FIELDS = [
"t_start", "t_end", "audio_ref", "frame_refs", "asr_delta",
"ocr_delta", "audio_events", "visual_events", "control",
"target_text_delta", "target_speech_ref",
]
def validate_row(sample, config_name):
issues = []
# Check top-level schema
missing = [f for f in REQUIRED_FIELDS if f not in sample]
if missing:
issues.append(f"Missing schema fields: {missing}")
# Check timeline
timeline = sample.get("timeline", [])
if not timeline:
issues.append("timeline is empty")
else:
t0 = timeline[0]
missing_tl = [f for f in TIMELINE_FIELDS if f not in t0]
if missing_tl:
issues.append(f"Missing timeline fields: {missing_tl}")
# AVJointReasoning specific
if config_name == "AVJointReasoning":
if "question" not in sample:
issues.append("Missing AVJointReasoning: question")
if "answer" not in sample:
issues.append("Missing AVJointReasoning: answer")
# Timeline sanity
for i, chunk in enumerate(timeline):
t_start = chunk.get("t_start", 0)
t_end = chunk.get("t_end", 0)
if t_start > t_end:
issues.append(f"Timeline chunk {i}: t_start > t_end")
return issues
for config in ["StreamingAudioInteraction", "AVJointReasoning"]:
print(f"\nValidating {config}...")
try:
ds = load_dataset(REPO, config, split="train", streaming=True)
sample = next(iter(ds))
issues = validate_row(sample, config)
if issues:
for issue in issues:
print(f" ISSUE: {issue}")
else:
print(f" All checks passed for {sample.get('id')}")
except Exception as e:
print(f" Loading failed: {e}")
print(" Try parquet fallback as shown in load_streaming_omni_dataset.py")
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