Datasets:

WolfParametric
/

wolf-community-scripts

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      'list' object is not a mapping
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/output/components/[]/params/Value) changed from string to number in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 113, in json_encode_fields_in_json_lines
                  examples = [json_encode_field(example, json_field_path) for example in examples]
                              ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 34, in json_encode_field
                  return {**example, field: json_encode_field(example.get(field), json_field_path)}
                                            ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 34, in json_encode_field
                  return {**example, field: json_encode_field(example.get(field), json_field_path)}
                                            ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 32, in json_encode_field
                  return [json_encode_field(x, json_field_path) for x in example]
                          ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 34, in json_encode_field
                  return {**example, field: json_encode_field(example.get(field), json_field_path)}
                                            ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 34, in json_encode_field
                  return {**example, field: json_encode_field(example.get(field), json_field_path)}
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              TypeError: 'list' object is not a mapping
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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1f236b21-abc9-4888-b622-98afdf08d15f	AutoGraph
820494f3-2858-4cb3-8e26-e11256edae35	Eddy3D
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End of preview.

WOLF - AI-Powered Grasshopper Assistant 🐺

Transform your parametric design workflow with AI-powered script generation and sharing. WOLF revolutionizes Grasshopper by turning your scripts into an intelligent, searchable library and enabling instant script generation through natural language descriptions.

📥 Installation Step 1: Unblock the Plugin ⚠️ IMPORTANT: Do this FIRST before copying files

Right-click on the downloaded Wolf.gha file Select "Properties" Check "Unblock" at the bottom if present Click "OK"

Step 2: Install Plugin

Copy the entire Wolf folder to your Grasshopper Libraries directory:

C:\Users[YourUsername]\AppData\Roaming\Grasshopper\Libraries\

Example path:

C:\Users\Alex\AppData\Roaming\Grasshopper\Libraries\Wolf\

Quick access to folder:

Press Windows + R Type: %appdata%\Grasshopper\Libraries Press Enter Paste the Wolf folder here

Restart Rhino/Grasshopper

Step 3: Verify Installation Open Grasshopper and look for the "WOLF" tab in the component toolbar. You should see:

🐺 Wolf (Main AI Assistant) 📝 Wolf Creator (Script Library Builder) 👤 User Info (Contributor Profile)

🎯 Quick Start

Generate Scripts with AI

Place the Wolf component on canvas A chat window opens automatically Describe what you want: "Create a spiral tower with adjustable height" Watch as WOLF generates the complete Grasshopper script!

Build Your Library

Create any Grasshopper script Select components you want to save (minimum 4) Add Wolf Creator component Enable "My Library" toggle Describe your script when prompted Your script becomes instantly AI-searchable!

Contribute to Community

Enable both "My Library" and "Contribute" toggles Fill out User Info component for attribution Share your scripts with designers worldwide Get credited every time someone uses your contributions!

🚀 Key Features

AI Script Search: Describe what you want to build, get instant Grasshopper scripts Smart Library: Convert your scripts into a searchable knowledge base Global Community: Access thousands of scripts shared by designers worldwide Perfect Recreation: Captures all component settings, connections, and states User Attribution: Get credit for every script you contribute

Downloads last month: 49

Total file size:

12 MB