Datasets:

nyuuzyou
/

crowdrepublic

Tasks:

Languages:

Russian

Size:

n<1K

Tags:

images

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train

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Cannot extract the features (columns) for the split 'train' of the config 'train' of the dataset.

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column(/constructor/[]/id) changed from string to number in row 8
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
              ValueError: Trailing data
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, 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 3335, 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 2096, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/constructor/[]/id) changed from string to number in row 8

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Dataset Card for CrowdRepublic.ru

Dataset Summary

This dataset contains crowdfunding projects from CrowdRepublic.ru, a Russian platform for crowdfunding creative projects. The dataset includes metadata for various projects with details about funding, creators, and rewards.

Languages

The dataset is primarily in Russian (ru).

Dataset Structure

Data Splits

All examples are in a single split.

Data Fields

project_url: Full URL of the project on CrowdRepublic
project_id: Unique identifier for the project
funding_goal: Total funding goal in rubles
funded_sum: Amount of funding currently raised
backers_count: Number of project supporters
creator_id: Unique identifier for the project creator
category_1: Primary project category
category_2: Secondary project category (if applicable)
picture: URL of the project's main image
status: Project status
time_launch: Timestamp of project launch
time_finish: Timestamp of funding campaign end
is_preorder: Boolean indicating if the project is a preorder
is_delivery_project: Boolean indicating if physical delivery is involved
delivery_price: Cost of delivery
is_adult: Boolean flagging adult content
slug: URL-friendly project identifier
title: Project title
description: Short project description
overview: Detailed project description
creator_name: Name of the project creator
creator_picture: URL of the creator's profile picture
rewards: Array of reward tiers, including:
- reward_id: Unique identifier for the reward
- price: Reward tier price
- limit: Maximum number of backers for this reward
- title: Reward tier title
- description: Detailed description of the reward
- delivery_month and delivery_year: Estimated delivery time

Additional Information

Dataset Curators

nyuuzyou

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