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Datasets:
RohanHBTU
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autotrain-data-t5-autotrain

Tasks:
Translation
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('csv', {'sep': '\t'}), NamedSplit('validation'): ('json', {})}
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
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 589, in infer_module_for_data_files
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('csv', {'sep': '\t'}), NamedSplit('validation'): ('json', {})}

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AutoTrain Dataset for project: t5-autotrain

Dataset Description

This dataset has been automatically processed by AutoTrain for project t5-autotrain.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "target": "SHOULD I WEAR A COAT TODAY ?",
    "source": "Kya mujhe aj coat pehena chahiye ?",
    "feat_en_parse": "[IN:GET_WEATHER SHOULD I WEAR A [SL:WEATHER_ATTRIBUTE COAT ] [SL:DATE_TIME TODAY ] ? ]",
    "feat_cs_parse": "[IN:GET_WEATHER Kya mujhe [SL:DATE_TIME aj ] [SL:WEATHER_ATTRIBUTE coat ] pehena chahiye ? ]",
    "feat_domain": "weather"
  },
  {
    "target": "Label my timer as Gym Timer",
    "source": "Mere timer ko Gym Timer ka label dijiye",
    "feat_en_parse": "[IN:UNSUPPORTED_TIMER Label my timer as Gym Timer ]",
    "feat_cs_parse": "[IN:UNSUPPORTED_TIMER Mere timer ko Gym Timer ka label dijiye ]",
    "feat_domain": "timer"
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "target": "Value(dtype='string', id=None)",
  "source": "Value(dtype='string', id=None)",
  "feat_en_parse": "Value(dtype='string', id=None)",
  "feat_cs_parse": "Value(dtype='string', id=None)",
  "feat_domain": "Value(dtype='string', id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name Num samples
train 2394
valid 599
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Models trained or fine-tuned on RohanHBTU/autotrain-data-t5-autotrain