Error code:   ConfigNamesError
Exception:    ValueError
Message:      
Expected data_files in YAML to be either a string or a list of strings
or a list of dicts with two keys: 'split' and 'path', but got [{'split': 'all', 'path': 'data/all.parquet'}, {'split': 'clean-read-speech-baseline', 'path': 'data/clean-read-speech-baseline.parquet'}, {'split': 'derived-audio-control', 'path': 'data/derived-audio-control.parquet'}, {'split': 'dialect-accent-robustness', 'path': 'data/dialect-accent-robustness.parquet'}, {'split': 'general-spontaneous-filler-long-utterance', 'path': 'data/general-spontaneous-filler-long-utterance.parquet'}, {'split': 'medical-code-switching', 'path': 'data/medical-code-switching.parquet'}, {'split': 'medical-domain-asr', 'path': 'data/medical-domain-asr.parquet'}]
Examples of data_files in YAML:

   data_files: data.csv

   data_files: data/*.png

   data_files:
    - part0/*
    - part1/*

   data_files:
    - split: train
      path: train/*
    - split: test
      path: test/*

   data_files:
    - split: train
      path:
      - train/part1/*
      - train/part2/*
    - split: test
      path: test/*

PS: some symbols like dashes '-' are not allowed in split names

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 611, in get_module
                  metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data)
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/metadata.py", line 153, in from_dataset_card_data
                  cls._raise_if_data_files_field_not_valid(metadata_config)
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/metadata.py", line 100, in _raise_if_data_files_field_not_valid
                  raise ValueError(yaml_error_message)
              ValueError: 
              Expected data_files in YAML to be either a string or a list of strings
              or a list of dicts with two keys: 'split' and 'path', but got [{'split': 'all', 'path': 'data/all.parquet'}, {'split': 'clean-read-speech-baseline', 'path': 'data/clean-read-speech-baseline.parquet'}, {'split': 'derived-audio-control', 'path': 'data/derived-audio-control.parquet'}, {'split': 'dialect-accent-robustness', 'path': 'data/dialect-accent-robustness.parquet'}, {'split': 'general-spontaneous-filler-long-utterance', 'path': 'data/general-spontaneous-filler-long-utterance.parquet'}, {'split': 'medical-code-switching', 'path': 'data/medical-code-switching.parquet'}, {'split': 'medical-domain-asr', 'path': 'data/medical-domain-asr.parquet'}]
              Examples of data_files in YAML:
              
                 data_files: data.csv
              
                 data_files: data/*.png
              
                 data_files:
                  - part0/*
                  - part1/*
              
                 data_files:
                  - split: train
                    path: train/*
                  - split: test
                    path: test/*
              
                 data_files:
                  - split: train
                    path:
                    - train/part1/*
                    - train/part2/*
                  - split: test
                    path: test/*
              
              PS: some symbols like dashes '-' are not allowed in split names

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Label Task Report ASR

Dataset Summary

Label Task Report ASR is a human-annotated Vietnamese ASR evaluation dataset with 100 labeled cases. It is designed for quality review, regression analysis, and scenario-based error inspection rather than model training.

The repository includes:

original raw export: raw/asr-ver2.json
flattened JSONL files: data/*.jsonl
viewer-friendly Parquet files: data/*.parquet

Splits are scenario-based, not train/validation/test partitions.

Splits

Split	Size	Meaning
`all`	100	Full evaluation set
`clean-read-speech-baseline`	10	Clean read-speech baseline
`derived-audio-control`	10	Control / derived audio cases
`dialect-accent-robustness`	25	Accent and dialect robustness
`general-spontaneous-filler-long-utterance`	10	Long spontaneous speech with fillers
`medical-code-switching`	20	Medical content with code-switching
`medical-domain-asr`	25	General medical-domain ASR evaluation

Schema

Each row is one labeled evaluation case with:

metadata: task_id, case_id, group, audio_condition, accent_or_region, source_*, model_version
reference and model output: expected_text, normalized_expected_text, transcript_reference, asr_output
label columns:
- label_transcript_correct
- label_num_unit
- label_negation
- label_tone_diacritic
- label_medical_term
- label_endpoint
- label_filler
- label_no_hallucination
- label_confidence
- error_notes

Criterion values use the original labels:

Đạt
Lỗi
Không áp dụng

Intended Use

Recommended:

ASR quality audits
regression tracking
bucket-level failure analysis
medical Vietnamese robustness analysis

Not recommended:

direct model training without extra curation
general-purpose benchmark claims from this sample alone

Repository Layout

raw/asr-ver2.json
data/all.jsonl
data/all.parquet
data/*.jsonl
data/*.parquet
split_manifest.json

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Total file size:

1.79 MB