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validation

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/lilacai/lilac-opus100-en-us-validation@1892bc5433424a0f00ffc6556b3162b4edf2de27/lilac/opus100-en-us-validation/translation/en/text_statistics/signal_manifest.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['files', 'parquet_id', 'data_schema', 'signal', 'enriched_path']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 92, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 183, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 69, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
                  raise ValueError(
              ValueError: Not able to read records in the JSON file at hf://datasets/lilacai/lilac-opus100-en-us-validation@1892bc5433424a0f00ffc6556b3162b4edf2de27/lilac/opus100-en-us-validation/translation/en/text_statistics/signal_manifest.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['files', 'parquet_id', 'data_schema', 'signal', 'enriched_path']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

This dataset is generated by Lilac for a HuggingFace Space: huggingface.co/spaces/lilacai/lilac.

Original dataset: https://huggingface.co/datasets/opus100

Lilac dataset config:

- embedding: gte-small
  path: [translation, en]
- embedding: gte-small
  path: [translation, es]
name: opus100-en-us-validation
namespace: lilac
settings:
  preferred_embedding: gte-small
  ui:
    media_paths:
    - [translation, es]
    - [translation, en]
signals:
- path: [translation, es]
  signal: {signal_name: near_dup}
- path: [translation, es]
  signal: {signal_name: pii}
- path: [translation, es]
  signal: {signal_name: lang_detection}
- path: [translation, es]
  signal: {signal_name: text_statistics}
- path: [translation, en]
  signal: {signal_name: near_dup}
- path: [translation, en]
  signal: {signal_name: text_statistics}
- path: [translation, en]
  signal: {signal_name: pii}
- path: [translation, en]
  signal: {signal_name: lang_detection}
source: {config_name: en-es, dataset_name: opus100, source_name: huggingface, split: validation}
tags: [machine-learning]

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