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L2T-NeurIPS-2023

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Dakhoo commited on
Commit
3b7ccf5
·
1 Parent(s): 1fbe190

added wine to jsonl

Browse files
Files changed (12) hide show
  1. L2T-NeurIPS-2023.py +7 -3
  2. code/test.ipynb +39 -14
  3. data/all/{all.tar.gz → all_dataset.jsonl} +2 -2
  4. data/all/all_dataset.tar.gz +3 -0
  5. data/napping_participants/napping_participants.jsonl +0 -0
  6. data/small/small.tar.gz +2 -2
  7. data/small/small_dataset.jsonl +3 -0
  8. data/vintages/vintages_dataset.jsonl +3 -107
  9. data/vintages/vintages_dataset.tar.gz +2 -2
  10. data/wt_session/wt_session.jsonl +3 -0
  11. data/wt_session/wt_session.tar.gz +2 -2
  12. poetry.lock +0 -0
L2T-NeurIPS-2023.py CHANGED
@@ -5,7 +5,7 @@ logger = datasets.logging.get_logger(__name__)
5
 
6
  USERNAME = "Dakhoo"
7
  REPO_NAME = "L2T-NeurIPS-2023"
8
- LOCAL = False
9
 
10
  _CITATION = """\
11
  @article{bender2023learning,
@@ -57,7 +57,8 @@ _REPO = f"https://huggingface.co/datasets/{USERNAME}/{REPO_NAME}/resolve/main"
57
  _REPO_META = f"https://huggingface.co/datasets/{USERNAME}/{REPO_NAME}/resolve/main/metadata"
58
 
59
  if LOCAL:
60
- _REPO = f"/Users/alka/Devel/L2T-NeurIPS-2023"
 
61
 
62
  class WineSensedConfig(datasets.BuilderConfig):
63
  """BuilderConfig for WineSensed."""
@@ -133,6 +134,7 @@ class WineSensed(datasets.GeneratorBasedBuilder):
133
  "price": datasets.Value("string"),
134
  "rating": datasets.Value("string"),
135
  "grape": datasets.Value("string"),
 
136
  }
137
  )
138
  elif self.config.name == 'napping_participants':
@@ -162,6 +164,7 @@ class WineSensed(datasets.GeneratorBasedBuilder):
162
  "price": datasets.Value("string"),
163
  "rating": datasets.Value("string"),
164
  "grape": datasets.Value("string"),
 
165
  "review": datasets.Value("string"),
166
  "event_name": datasets.Value("string"),
167
  "session_round_name": datasets.Value("string"),
@@ -219,7 +222,6 @@ class WineSensed(datasets.GeneratorBasedBuilder):
219
  "region": data_dict['region'],
220
  "price": data_dict['price'],
221
  "rating": data_dict['rating'],
222
- "grape": data_dict['grape'],
223
  }
224
  id += 1
225
 
@@ -270,6 +272,7 @@ class WineSensed(datasets.GeneratorBasedBuilder):
270
  "coor1": metadata_dict.get(filepath.split('/')[1], {}).get('coor1', None),
271
  "coor2": metadata_dict.get(filepath.split('/')[1], {}).get('coor2', None),
272
  "color": metadata_dict.get(filepath.split('/')[1], {}).get('color', None),
 
273
  }
274
 
275
  def _process_images_jsonl_file(self, jsonl_file_path):
@@ -300,6 +303,7 @@ class WineSensed(datasets.GeneratorBasedBuilder):
300
  "price": data.get('price', None),
301
  "rating": data.get('rating', None),
302
  "grape": data.get('grape', None),
 
303
  "event_name": data.get('event_name', None),
304
  "session_round_name": data.get('session_round_name', None),
305
  "experiment_no": data.get('experiment_no', None),
 
5
 
6
  USERNAME = "Dakhoo"
7
  REPO_NAME = "L2T-NeurIPS-2023"
8
+ LOCAL = True
9
 
10
  _CITATION = """\
11
  @article{bender2023learning,
 
57
  _REPO_META = f"https://huggingface.co/datasets/{USERNAME}/{REPO_NAME}/resolve/main/metadata"
58
 
59
  if LOCAL:
60
+ _REPO = f"/Users/alka/Devel/l2t-nurips"
61
+ _REPO_META = f"/Users/alka/Devel/l2t-nurips/metadata"
62
 
63
  class WineSensedConfig(datasets.BuilderConfig):
64
  """BuilderConfig for WineSensed."""
 
134
  "price": datasets.Value("string"),
135
  "rating": datasets.Value("string"),
136
  "grape": datasets.Value("string"),
137
+ "wine": datasets.Value("string"),
138
  }
139
  )
140
  elif self.config.name == 'napping_participants':
 
164
  "price": datasets.Value("string"),
165
  "rating": datasets.Value("string"),
166
  "grape": datasets.Value("string"),
167
+ "wine": datasets.Value("string"),
168
  "review": datasets.Value("string"),
169
  "event_name": datasets.Value("string"),
170
  "session_round_name": datasets.Value("string"),
 
222
  "region": data_dict['region'],
223
  "price": data_dict['price'],
224
  "rating": data_dict['rating'],
 
225
  }
226
  id += 1
227
 
 
272
  "coor1": metadata_dict.get(filepath.split('/')[1], {}).get('coor1', None),
273
  "coor2": metadata_dict.get(filepath.split('/')[1], {}).get('coor2', None),
274
  "color": metadata_dict.get(filepath.split('/')[1], {}).get('color', None),
275
+ "wine": metadata_dict.get(filepath.split('/')[1], {}).get('wine', None),
276
  }
277
 
278
  def _process_images_jsonl_file(self, jsonl_file_path):
 
303
  "price": data.get('price', None),
304
  "rating": data.get('rating', None),
305
  "grape": data.get('grape', None),
306
+ "wine": data.get('wine', None),
307
  "event_name": data.get('event_name', None),
308
  "session_round_name": data.get('session_round_name', None),
309
  "experiment_no": data.get('experiment_no', None),
code/test.ipynb CHANGED
@@ -9,7 +9,7 @@
9
  "name": "stderr",
10
  "output_type": "stream",
11
  "text": [
12
- "/Users/alka/Library/Caches/pypoetry/virtualenvs/l2t-uvsvVlQD-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
13
  " from .autonotebook import tqdm as notebook_tqdm\n"
14
  ]
15
  }
@@ -28,14 +28,39 @@
28
  "output_type": "stream",
29
  "text": [
30
  "Repo card metadata block was not found. Setting CardData to empty.\n",
31
- "Downloading data files: 100%|██████████| 1/1 [00:00<00:00, 510.19it/s]\n",
32
- "Generating train split: 108 examples [00:00, 1392.65 examples/s]\n"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  ]
34
  }
35
  ],
36
  "source": [
37
  "# Load your dataset using the path to your script\n",
38
- "dataset = load_dataset('../python-script.py', 'vintages')\n"
39
  ]
40
  },
41
  {
@@ -44,14 +69,14 @@
44
  "metadata": {},
45
  "outputs": [
46
  {
47
- "name": "stdout",
48
- "output_type": "stream",
49
- "text": [
50
- "{'vintage_id': '1469676', 'year': '2018', 'winery_id': '247919', 'wine_alcohol': None, 'country': 'Italy', 'region': ' Abruzzo', 'price': '22.26', 'rating': '4.3', 'grape': 'Sangiovese'}\n",
51
- "{'vintage_id': '156263848', 'year': '2018', 'winery_id': '2080', 'wine_alcohol': '14.0', 'country': 'United States', 'region': ' Napa Valley', 'price': '13.86', 'rating': '4.0', 'grape': 'Pinot Noir'}\n",
52
- "{'vintage_id': '156177650', 'year': '2018', 'winery_id': '18224', 'wine_alcohol': '13.5', 'country': 'Italy', 'region': ' Salento', 'price': '19.46', 'rating': '4.0', 'grape': 'Primitivo'}\n",
53
- "{'vintage_id': '20161520', 'year': '2015', 'winery_id': '215762', 'wine_alcohol': '14.0', 'country': 'France', 'region': ' Saint-Émilion Grand Cru', 'price': '23.66', 'rating': '4.1', 'grape': 'Merlot'}\n",
54
- "{'vintage_id': '164942605', 'year': '2020', 'winery_id': '215762', 'wine_alcohol': '14.0', 'country': 'Italy', 'region': \" Vino d'Italia\", 'price': '9.66', 'rating': '4.1', 'grape': 'Merlot'}\n"
55
  ]
56
  }
57
  ],
@@ -247,7 +272,7 @@
247
  ],
248
  "metadata": {
249
  "kernelspec": {
250
- "display_name": "l2t-DzsSEbN9-py3.10",
251
  "language": "python",
252
  "name": "python3"
253
  },
@@ -261,7 +286,7 @@
261
  "name": "python",
262
  "nbconvert_exporter": "python",
263
  "pygments_lexer": "ipython3",
264
- "version": "3.10.5"
265
  },
266
  "orig_nbformat": 4
267
  },
 
9
  "name": "stderr",
10
  "output_type": "stream",
11
  "text": [
12
+ "/Users/alka/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
13
  " from .autonotebook import tqdm as notebook_tqdm\n"
14
  ]
15
  }
 
28
  "output_type": "stream",
29
  "text": [
30
  "Repo card metadata block was not found. Setting CardData to empty.\n",
31
+ "Downloading data files: 100%|██████████| 1/1 [00:00<00:00, 1392.53it/s]\n",
32
+ "Generating train split: 0 examples [00:00, ? examples/s]\n"
33
+ ]
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+ },
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+ {
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+ "ename": "DatasetGenerationError",
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+ "evalue": "An error occurred while generating the dataset",
38
+ "output_type": "error",
39
+ "traceback": [
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+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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+ "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
42
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/builder.py:1687\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._prepare_split_single\u001b[0;34m(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)\u001b[0m\n\u001b[1;32m 1678\u001b[0m writer \u001b[38;5;241m=\u001b[39m writer_class(\n\u001b[1;32m 1679\u001b[0m features\u001b[38;5;241m=\u001b[39mwriter\u001b[38;5;241m.\u001b[39m_features,\n\u001b[1;32m 1680\u001b[0m path\u001b[38;5;241m=\u001b[39mfpath\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSSSSS\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mshard_id\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m05d\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mJJJJJ\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_id\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m05d\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1685\u001b[0m embed_local_files\u001b[38;5;241m=\u001b[39membed_local_files,\n\u001b[1;32m 1686\u001b[0m )\n\u001b[0;32m-> 1687\u001b[0m example \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfeatures\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencode_example\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecord\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mfeatures \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m record\n\u001b[1;32m 1688\u001b[0m writer\u001b[38;5;241m.\u001b[39mwrite(example, key)\n",
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+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/features/features.py:1866\u001b[0m, in \u001b[0;36mFeatures.encode_example\u001b[0;34m(self, example)\u001b[0m\n\u001b[1;32m 1865\u001b[0m example \u001b[38;5;241m=\u001b[39m cast_to_python_objects(example)\n\u001b[0;32m-> 1866\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mencode_nested_example\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexample\u001b[49m\u001b[43m)\u001b[49m\n",
44
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/features/features.py:1243\u001b[0m, in \u001b[0;36mencode_nested_example\u001b[0;34m(schema, obj, level)\u001b[0m\n\u001b[1;32m 1241\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGot None but expected a dictionary instead\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1242\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (\n\u001b[0;32m-> 1243\u001b[0m \u001b[43m{\u001b[49m\n\u001b[1;32m 1244\u001b[0m \u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mencode_nested_example\u001b[49m\u001b[43m(\u001b[49m\u001b[43msub_schema\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msub_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevel\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1245\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43msub_schema\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msub_obj\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mzip_dict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mschema\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1246\u001b[0m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\n\u001b[1;32m 1247\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m obj \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1248\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1249\u001b[0m )\n\u001b[1;32m 1251\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(schema, (\u001b[38;5;28mlist\u001b[39m, \u001b[38;5;28mtuple\u001b[39m)):\n",
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+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/utils/py_utils.py:323\u001b[0m, in \u001b[0;36mzip_dict\u001b[0;34m(*dicts)\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m unique_values(itertools\u001b[38;5;241m.\u001b[39mchain(\u001b[38;5;241m*\u001b[39mdicts)): \u001b[38;5;66;03m# set merge all keys\u001b[39;00m\n\u001b[1;32m 322\u001b[0m \u001b[38;5;66;03m# Will raise KeyError if the dict don't have the same keys\u001b[39;00m\n\u001b[0;32m--> 323\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m key, \u001b[38;5;28;43mtuple\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43md\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43md\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdicts\u001b[49m\u001b[43m)\u001b[49m\n",
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+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/utils/py_utils.py:323\u001b[0m, in \u001b[0;36m<genexpr>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m unique_values(itertools\u001b[38;5;241m.\u001b[39mchain(\u001b[38;5;241m*\u001b[39mdicts)): \u001b[38;5;66;03m# set merge all keys\u001b[39;00m\n\u001b[1;32m 322\u001b[0m \u001b[38;5;66;03m# Will raise KeyError if the dict don't have the same keys\u001b[39;00m\n\u001b[0;32m--> 323\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m key, \u001b[38;5;28mtuple\u001b[39m(\u001b[43md\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m d \u001b[38;5;129;01min\u001b[39;00m dicts)\n",
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+ "\u001b[0;31mKeyError\u001b[0m: 'grape'",
48
+ "\nThe above exception was the direct cause of the following exception:\n",
49
+ "\u001b[0;31mDatasetGenerationError\u001b[0m Traceback (most recent call last)",
50
+ "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Load your dataset using the path to your script\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m dataset \u001b[38;5;241m=\u001b[39m \u001b[43mload_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../L2T-NeurIPS-2023.py\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mvintages\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
51
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/load.py:2152\u001b[0m, in \u001b[0;36mload_dataset\u001b[0;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)\u001b[0m\n\u001b[1;32m 2149\u001b[0m try_from_hf_gcs \u001b[38;5;241m=\u001b[39m path \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m _PACKAGED_DATASETS_MODULES\n\u001b[1;32m 2151\u001b[0m \u001b[38;5;66;03m# Download and prepare data\u001b[39;00m\n\u001b[0;32m-> 2152\u001b[0m \u001b[43mbuilder_instance\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload_and_prepare\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2153\u001b[0m \u001b[43m \u001b[49m\u001b[43mdownload_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdownload_config\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2154\u001b[0m \u001b[43m \u001b[49m\u001b[43mdownload_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdownload_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2155\u001b[0m \u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverification_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2156\u001b[0m \u001b[43m \u001b[49m\u001b[43mtry_from_hf_gcs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtry_from_hf_gcs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2157\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_proc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_proc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2158\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2159\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2161\u001b[0m \u001b[38;5;66;03m# Build dataset for splits\u001b[39;00m\n\u001b[1;32m 2162\u001b[0m keep_in_memory \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 2163\u001b[0m keep_in_memory \u001b[38;5;28;01mif\u001b[39;00m keep_in_memory \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m is_small_dataset(builder_instance\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mdataset_size)\n\u001b[1;32m 2164\u001b[0m )\n",
52
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/builder.py:948\u001b[0m, in \u001b[0;36mDatasetBuilder.download_and_prepare\u001b[0;34m(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)\u001b[0m\n\u001b[1;32m 946\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m num_proc \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 947\u001b[0m prepare_split_kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnum_proc\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m num_proc\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download_and_prepare\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 949\u001b[0m \u001b[43m \u001b[49m\u001b[43mdl_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdl_manager\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 950\u001b[0m \u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverification_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 951\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mprepare_split_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 952\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdownload_and_prepare_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 953\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 954\u001b[0m \u001b[38;5;66;03m# Sync info\u001b[39;00m\n\u001b[1;32m 955\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mdataset_size \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(split\u001b[38;5;241m.\u001b[39mnum_bytes \u001b[38;5;28;01mfor\u001b[39;00m split \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39msplits\u001b[38;5;241m.\u001b[39mvalues())\n",
53
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/builder.py:1711\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._download_and_prepare\u001b[0;34m(self, dl_manager, verification_mode, **prepare_splits_kwargs)\u001b[0m\n\u001b[1;32m 1710\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_download_and_prepare\u001b[39m(\u001b[38;5;28mself\u001b[39m, dl_manager, verification_mode, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mprepare_splits_kwargs):\n\u001b[0;32m-> 1711\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download_and_prepare\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43mdl_manager\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m \u001b[49m\u001b[43mcheck_duplicate_keys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverification_mode\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mVerificationMode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBASIC_CHECKS\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mverification_mode\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mVerificationMode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mALL_CHECKS\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1716\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mprepare_splits_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1717\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
54
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/builder.py:1043\u001b[0m, in \u001b[0;36mDatasetBuilder._download_and_prepare\u001b[0;34m(self, dl_manager, verification_mode, **prepare_split_kwargs)\u001b[0m\n\u001b[1;32m 1039\u001b[0m split_dict\u001b[38;5;241m.\u001b[39madd(split_generator\u001b[38;5;241m.\u001b[39msplit_info)\n\u001b[1;32m 1041\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1042\u001b[0m \u001b[38;5;66;03m# Prepare split will record examples associated to the split\u001b[39;00m\n\u001b[0;32m-> 1043\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_split\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit_generator\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mprepare_split_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1044\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 1045\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(\n\u001b[1;32m 1046\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot find data file. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1047\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmanual_download_instructions \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1048\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mOriginal error:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1049\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mstr\u001b[39m(e)\n\u001b[1;32m 1050\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n",
55
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/builder.py:1549\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._prepare_split\u001b[0;34m(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)\u001b[0m\n\u001b[1;32m 1547\u001b[0m job_id \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m 1548\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pbar:\n\u001b[0;32m-> 1549\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mjob_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdone\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontent\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_split_single\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1550\u001b[0m \u001b[43m \u001b[49m\u001b[43mgen_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgen_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjob_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m_prepare_split_args\u001b[49m\n\u001b[1;32m 1551\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 1552\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdone\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 1553\u001b[0m \u001b[43m \u001b[49m\u001b[43mresult\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mcontent\u001b[49m\n",
56
+ "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/l2t-bCMhzpFl-py3.12/lib/python3.12/site-packages/datasets/builder.py:1706\u001b[0m, in \u001b[0;36mGeneratorBasedBuilder._prepare_split_single\u001b[0;34m(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)\u001b[0m\n\u001b[1;32m 1704\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, SchemaInferenceError) \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39m__context__ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1705\u001b[0m e \u001b[38;5;241m=\u001b[39m e\u001b[38;5;241m.\u001b[39m__context__\n\u001b[0;32m-> 1706\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m DatasetGenerationError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn error occurred while generating the dataset\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 1708\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m job_id, \u001b[38;5;28;01mTrue\u001b[39;00m, (total_num_examples, total_num_bytes, writer\u001b[38;5;241m.\u001b[39m_features, num_shards, shard_lengths)\n",
57
+ "\u001b[0;31mDatasetGenerationError\u001b[0m: An error occurred while generating the dataset"
58
  ]
59
  }
60
  ],
61
  "source": [
62
  "# Load your dataset using the path to your script\n",
63
+ "dataset = load_dataset('../L2T-NeurIPS-2023.py', 'vintages')\n"
64
  ]
65
  },
66
  {
 
69
  "metadata": {},
70
  "outputs": [
71
  {
72
+ "ename": "NameError",
73
+ "evalue": "name 'dataset' is not defined",
74
+ "output_type": "error",
75
+ "traceback": [
76
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
77
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
78
+ "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m cnt, item \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[43mdataset\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain\u001b[39m\u001b[38;5;124m'\u001b[39m]):\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(item)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cnt \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m3\u001b[39m:\n",
79
+ "\u001b[0;31mNameError\u001b[0m: name 'dataset' is not defined"
80
  ]
81
  }
82
  ],
 
272
  ],
273
  "metadata": {
274
  "kernelspec": {
275
+ "display_name": "l2t-bCMhzpFl-py3.12",
276
  "language": "python",
277
  "name": "python3"
278
  },
 
286
  "name": "python",
287
  "nbconvert_exporter": "python",
288
  "pygments_lexer": "ipython3",
289
+ "version": "3.12.2"
290
  },
291
  "orig_nbformat": 4
292
  },
data/all/{all.tar.gz → all_dataset.jsonl} RENAMED
@@ -1,3 +1,3 @@
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- oid sha256:80be08379db6e76d804baede82b5aa5b7325661a028a3b0384bb7a72fb2f9dee
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- size 35409352118
 
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