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Datasets:
RedBall
/
seoul-urban-park-analysis-by-llm

Tags:
urban park
park
License:
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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/RedBall/seoul-urban-park-analysis-by-llm@b5aa53a91a8d950107a591210456135e776d9790/seoul_urban_park_analysis_dataset.json.
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 165, in _generate_tables
                  raise ValueError(f"Not able to read records in the JSON file at {file}.") from None
              ValueError: Not able to read records in the JSON file at hf://datasets/RedBall/seoul-urban-park-analysis-by-llm@b5aa53a91a8d950107a591210456135e776d9790/seoul_urban_park_analysis_dataset.json.

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This dataset contains analysis results of 29,866 urban park images. The analysis is done by GPT-4.

The elements for analysis are as follows:

  • "elements": All physical elements visible in the photo, and the proportion of each element in the photo (summing up to 1). For each type of element (e.g., structures, ground, objects), provide a descriptive analysis, stating them by specific pronouns. For example, you should not state a building just as a building, but more precisely like a pavilion or canopy.
  • "is_user_exist": Whether people exist in the photo.
  • "user_activities": If there are people, what activities they are doing.
  • "user_emotions": If there are people, the emotions of the people.
  • "user_group": If there are people, in what group they are.
  • "user_type": If there are people, the gender and age group.
  • "is_animal_exist": Whether animals appear.
  • "animals": If there are animals, what kinds of animals there are.
  • "time": The time of day the photo was taken.
  • "season": The season the photo was taken. Choose one of 4 seasons.
  • "image_emotions": The emotions felt from the photo.

As a side note, this dataset does not contain images because of privacy issue. There are only analysis results.

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