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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
model_type: string
epochs: int64
average_r2: double
hotel_mae: double
food_mae: double
travel_mae: double
activity_mae: double
destinations: list<item: string>
features: list<item: string>
vs
base_costs: struct<Budget: struct<hotel: int64, food: int64, travel: int64, activity: int64>, Moderate: struct<hotel: int64, food: int64, travel: int64, activity: int64>, Premium: struct<hotel: int64, food: int64, travel: int64, activity: int64>, Luxury: struct<hotel: int64, food: int64, travel: int64, activity: int64>>
state_multipliers: struct<Goa: double, Delhi: double, Mumbai: double, Bangalore: double, Kerala: double, Himachal Pradesh: double, Uttarakhand: double, Jammu and Kashmir: double, Maharashtra: double, Rajasthan: double, Karnataka: double, Tamil Nadu: double, West Bengal: double, Gujarat: double, Punjab: double, Haryana: double, Telangana: double, Andhra Pradesh: double, Uttar Pradesh: double, Bihar: double, Madhya Pradesh: double, Odisha: double, Chhattisgarh: double, Jharkhand: double, Assam: double, Tripura: double>
season_multipliers: struct<peak: double, shoulder: double, offpeak: double>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              model_type: string
              epochs: int64
              average_r2: double
              hotel_mae: double
              food_mae: double
              travel_mae: double
              activity_mae: double
              destinations: list<item: string>
              features: list<item: string>
              vs
              base_costs: struct<Budget: struct<hotel: int64, food: int64, travel: int64, activity: int64>, Moderate: struct<hotel: int64, food: int64, travel: int64, activity: int64>, Premium: struct<hotel: int64, food: int64, travel: int64, activity: int64>, Luxury: struct<hotel: int64, food: int64, travel: int64, activity: int64>>
              state_multipliers: struct<Goa: double, Delhi: double, Mumbai: double, Bangalore: double, Kerala: double, Himachal Pradesh: double, Uttarakhand: double, Jammu and Kashmir: double, Maharashtra: double, Rajasthan: double, Karnataka: double, Tamil Nadu: double, West Bengal: double, Gujarat: double, Punjab: double, Haryana: double, Telangana: double, Andhra Pradesh: double, Uttar Pradesh: double, Bihar: double, Madhya Pradesh: double, Odisha: double, Chhattisgarh: double, Jharkhand: double, Assam: double, Tripura: double>
              season_multipliers: struct<peak: double, shoulder: double, offpeak: double>

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Dhruv AI Datasets

Training datasets for Dhruv AI Travel Assistant

Datasets

  • Crime data (NCRB)
  • Tourism statistics
  • Food data (Indian Food 101)
  • Transport data (Ola, Uber, Bus)
  • Weather data

Total: 700K+ samples

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