Fix RuntimeError: Sharding is ambiguous for this dataset

#4
by albertvillanova HF staff - opened
Files changed (1) hide show
  1. ami.py +4 -4
ami.py CHANGED
@@ -396,7 +396,7 @@ class AMI(datasets.GeneratorBasedBuilder):
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  gen_kwargs={
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  "annotation_path": annotation_path,
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  "samples_paths": train_path,
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- "ids": _TRAIN_SAMPLE_IDS,
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  "verification_ids": train_ids,
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  },
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  ),
@@ -405,7 +405,7 @@ class AMI(datasets.GeneratorBasedBuilder):
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  gen_kwargs={
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  "annotation_path": annotation_path,
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  "samples_paths": validation_path,
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- "ids": _VALIDATION_SAMPLE_IDS,
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  "verification_ids": validation_ids,
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  },
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  ),
@@ -414,7 +414,7 @@ class AMI(datasets.GeneratorBasedBuilder):
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  gen_kwargs={
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  "annotation_path": annotation_path,
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  "samples_paths": eval_path,
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- "ids": _EVAL_SAMPLE_IDS,
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  "verification_ids": eval_ids,
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  },
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  ),
@@ -501,7 +501,7 @@ class AMI(datasets.GeneratorBasedBuilder):
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  sample_paths = samples_paths[num_audios * i : num_audios * (i + 1)]
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  sample_verification_id = set(verification_ids[num_audios * i : num_audios * (i + 1)])
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- # make sure that multi microphone samples are correctly atttributed to labels
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  if len(sample_verification_id) > 1 or next(iter(sample_verification_id)) != _id:
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  raise ValueError(
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  f"Incorrect dataset generation. The files {sample_paths} of id {_id} have incorrect verification_ids {sample_verification_id}."
 
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  gen_kwargs={
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  "annotation_path": annotation_path,
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  "samples_paths": train_path,
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+ "ids": tuple(_TRAIN_SAMPLE_IDS),
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  "verification_ids": train_ids,
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  },
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  ),
 
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  gen_kwargs={
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  "annotation_path": annotation_path,
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  "samples_paths": validation_path,
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+ "ids": tuple(_VALIDATION_SAMPLE_IDS),
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  "verification_ids": validation_ids,
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  },
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  ),
 
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  gen_kwargs={
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  "annotation_path": annotation_path,
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  "samples_paths": eval_path,
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+ "ids": tuple(_EVAL_SAMPLE_IDS),
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  "verification_ids": eval_ids,
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  },
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  ),
 
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  sample_paths = samples_paths[num_audios * i : num_audios * (i + 1)]
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  sample_verification_id = set(verification_ids[num_audios * i : num_audios * (i + 1)])
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+ # make sure that multi microphone samples are correctly attributed to labels
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  if len(sample_verification_id) > 1 or next(iter(sample_verification_id)) != _id:
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  raise ValueError(
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  f"Incorrect dataset generation. The files {sample_paths} of id {_id} have incorrect verification_ids {sample_verification_id}."