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Datasets:
malaysia-ai
/
crawl-foodpanda

Languages:
Malay
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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:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/malaysia-ai/crawl-foodpanda@1e0e9792d75f2b8304d89b55cccf1af89924b198/foodpanda-foods-old.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['Kuala Lumpur', 'Penang', 'Petaling Jaya', 'Subang', 'Shah Alam', 'Cyberjaya', 'Johor Bahru', 'Melaka', 'Kuching', 'Miri', 'Kuantan', 'Bangi', 'Ipoh', 'Terengganu', 'Kajang', 'Kelantan', 'Putrajaya', 'Kota-Kinabalu', 'Klang', 'Negeri Sembilan', 'Sungai Petani', 'Alor Setar', 'Kulim', 'Rawang', 'Taiping', 'Sitiawan', 'Kluang', 'Kulai', 'Sibu', 'Sepang', 'Kangar', 'Temerloh', 'Bintulu', 'Petra Jaya', 'Sandakan', 'Pontian', 'Segamat', 'Nibong Tebal', 'Kampar', 'Ulu Tiram']. 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/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                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 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                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/malaysia-ai/crawl-foodpanda@1e0e9792d75f2b8304d89b55cccf1af89924b198/foodpanda-foods-old.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['Kuala Lumpur', 'Penang', 'Petaling Jaya', 'Subang', 'Shah Alam', 'Cyberjaya', 'Johor Bahru', 'Melaka', 'Kuching', 'Miri', 'Kuantan', 'Bangi', 'Ipoh', 'Terengganu', 'Kajang', 'Kelantan', 'Putrajaya', 'Kota-Kinabalu', 'Klang', 'Negeri Sembilan', 'Sungai Petani', 'Alor Setar', 'Kulim', 'Rawang', 'Taiping', 'Sitiawan', 'Kluang', 'Kulai', 'Sibu', 'Sepang', 'Kangar', 'Temerloh', 'Bintulu', 'Petra Jaya', 'Sandakan', 'Pontian', 'Segamat', 'Nibong Tebal', 'Kampar', 'Ulu Tiram']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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Foodpanda

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  1. foodpanda-city.json,

Available cities and page links.

{'Kuala Lumpur': '/city/kuala-lumpur',
 'Penang': '/city/bayan-baru',
 'Petaling Jaya': '/city/petaling-jaya',
 'Subang': '/city/puchong',
 'Shah Alam': '/city/shah-alam',
 'Cyberjaya': '/city/cyberjaya',
  1. foodpanda-restaurant.json,

Available restaurants for each cities.

{'Kuala Lumpur': {'La Risata Bar Pizzeria Ristorante': {'star': '4.5',
   'delivery': 'Free',
   'characters': ['Meat', 'Pasta', 'Salad', 'Pizza', 'Italian'],
   'link': '/chain/ce3iw/la-risata-bar-pizzeria-ristorante'},
  'Viapre Italian Restaurant KL': {'star': '4.3',
   'delivery': 'Free',
   'characters': ['Pizza'],
   'link': '/chain/ck3sy/viapre-italian-restaurant-kl'},
  1. foodpanda-foods-old.json,

Total size is 98.7 MB.

Available foods for each restaurants.

{'La Risata Bar Pizzeria Ristorante': {'star': '4.5',
  'delivery': 'Free',
  'characters': ['Meat', 'Pasta', 'Salad', 'Pizza', 'Italian'],
  'link': '/chain/ce3iw/la-risata-bar-pizzeria-ristorante',
  'data': []},
 'Viapre Italian Restaurant KL': {'star': '4.3',
  'delivery': 'Free',
  'characters': ['Pizza'],
  'link': '/chain/ck3sy/viapre-italian-restaurant-kl',
  'data': [['Starters',
    {'is_half_type_available': False,
     'id': 639959,
     'name': 'Bresaola',
     'code': 'm4yz-pr-dpsn',
     'description': 'Air dry beef loin slices on fresh mozzarella, mushroom pikles, evo oil and fine balsamic',
     'file_path': '',
     'logo_path': '',
     'half_type': None,
     'is_alcoholic_item': False,
     'product_variations': [{'id':

Last update on 24th November 2019.

  1. foodpanda-foods.json,

Total size is 382.1 MB.

Available foods for each restaurants.

Last update on 15th August 2020.

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