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': 'abbreviations', 'path': 'data/abbreviations.parquet'}, {'split': 'dosage-units', 'path': 'data/dosage-units.parquet'}, {'split': 'drug-names', 'path': 'data/drug-names.parquet'}, {'split': 'long-instructions', 'path': 'data/long-instructions.parquet'}, {'split': 'medical-terms', 'path': 'data/medical-terms.parquet'}, {'split': 'mixed-vi-en', 'path': 'data/mixed-vi-en.parquet'}, {'split': 'negation-warnings', 'path': 'data/negation-warnings.parquet'}, {'split': 'pause-sensitive', 'path': 'data/pause-sensitive.parquet'}, {'split': 'short-confirmations', 'path': 'data/short-confirmations.parquet'}, {'split': 'tone-minimal-pairs', 'path': 'data/tone-minimal-pairs.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': 'abbreviations', 'path': 'data/abbreviations.parquet'}, {'split': 'dosage-units', 'path': 'data/dosage-units.parquet'}, {'split': 'drug-names', 'path': 'data/drug-names.parquet'}, {'split': 'long-instructions', 'path': 'data/long-instructions.parquet'}, {'split': 'medical-terms', 'path': 'data/medical-terms.parquet'}, {'split': 'mixed-vi-en', 'path': 'data/mixed-vi-en.parquet'}, {'split': 'negation-warnings', 'path': 'data/negation-warnings.parquet'}, {'split': 'pause-sensitive', 'path': 'data/pause-sensitive.parquet'}, {'split': 'short-confirmations', 'path': 'data/short-confirmations.parquet'}, {'split': 'tone-minimal-pairs', 'path': 'data/tone-minimal-pairs.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 TTS

Dataset Summary

Label Task Report TTS is a human-annotated Vietnamese TTS evaluation dataset with 100 labeled cases. It is intended for quality review, voice regression analysis, and cluster-based failure inspection rather than training.

The repository includes:

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

Splits are organized by evaluation cluster, not train/validation/test.

Splits

Split	Size	Meaning
`all`	100	Full evaluation set
`abbreviations`	8	Abbreviation reading
`dosage-units`	15	Dosage and unit reading
`drug-names`	12	Drug and proper-name pronunciation
`long-instructions`	8	Longer instruction prompts
`medical-terms`	10	Medical terminology cases
`mixed-vi-en`	8	Mixed Vietnamese-English prompts
`negation-warnings`	12	Negation / warning-sensitive prompts
`pause-sensitive`	10	Pause-sensitive prompts
`short-confirmations`	5	Short confirmation-style prompts
`tone-minimal-pairs`	12	Tone-sensitive prompts

Schema

Each row is one labeled evaluation case with:

metadata: task_id, case_id, group, audio_condition, accent_or_region, source_*, model_version
prompt/reference fields: tts_input, expected_text, normalized_expected_text
label columns:
- label_content_complete
- label_num_basic
- label_neg
- label_tone_pron
- label_naturalness
- label_prosody_pause
- label_proper_name
- label_speaking_rate
- label_confidence
- error_notes

Criterion values use the original labels:

Đạt
Lỗi
Không áp dụng

Intended Use

Recommended:

TTS quality audits
cluster-level failure analysis
pronunciation / naturalness tracking
medical Vietnamese prompt evaluation

Not recommended:

direct model training without extra curation
broad TTS benchmark claims from this sample alone

Repository Layout

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

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Total file size:

1.47 MB