The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
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() changed from object to string 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/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Kyvo Dataset and Codebooks Details
This document provides details about the dataset and codebooks provided in the kyvo-datasets-and-codebooks repository. We will provide the details about each of the folders in the repository and the contents of each folder.
Data Generation Pipeline
The pipeline that we follow to generate the pre-tokenized data is as follows:
- 3D Scenes: 3D Scene JSON --> Serialized 3D Scene --> Tokenized 3D Scene
- Images: Image --> VQGAN Codebook Indices --> Tokenized Image
- Text: Text --> Tokenized Text
Pre-tokenized Data
The pretokenized-data folder contains all the pre-tokenized data for the datasets used in the Kyvo project. The pre-tokenized data is stored in the following structure:
pretokenized-data/
|-- clevr/
| |-- 3d-scenes/ # contains all pre-tokenized 3D scenes for CLEVR for all tasks
| |-- images/ # contains all pre-tokenized images for CLEVR for all tasks
| |-- text/ # contains all pre-tokenized text for CLEVR for all tasks
|-- objaworld/
| |-- 3d-scenes/ # contains all pre-tokenized 3D scenes for ObjaWorld for all tasks
| |-- images/ # contains all pre-tokenized images for ObjaWorld for all tasks
|-- objectron/
| |-- 3d-scenes/ # contains all pre-tokenized 3D scenes for Objectron for all tasks
| |-- images/ # contains all pre-tokenized images for Objectron for all tasks
For a given task, an input can be any combination of 3d-scenes, images, and text. The output can be any combination of images, text, and 3d-scenes. In the following table we outline the tasks for each dataset and the corresponding input and output data that are needed for each task.
| Task | Input Image | Input 3D Scene | Input Text | Output Image | Output 3D Scene | Output Text |
|---|---|---|---|---|---|---|
| CLEVR | ||||||
| Rendering | π | β | π | β | π | π |
| Recognition | β | π | π | π | β | π |
| Instruction-Following | β | β | β | β | β | π |
| Question-Answering | β | β | β | π | π | β |
| ObjaWorld | ||||||
| Rendering | π | β | π | β | π | π |
| Recognition | β | π | π | π | β | π |
| Objectron | ||||||
| Recognition | β | π | π | π | β | π |
For the exact files that correspond to the input and output data for each task, please refer to the corresponding configuration files in the configs/llama3_2/train folder.
VQGAN Models and Codebooks
The vqgan-models-and-codebooks folder contains all the VQGAN model checkpoints and codebooks for the datasets used in the Kyvo project. The VQGAN model checkpoints and codebooks are stored in the following structure:
vqgan-models-and-codebooks/
|-- clevr/
| |-- 2024-10-10T09-21-36_custom_vqgan_CLEVR-LARGE/ # contains the VQGAN model checkpoint for CLEVR
| |-- custom_vqgan_embedding_1024CLEVRLARGE_256dim.npy # contains the VQGAN codebook for CLEVR
|-- objaworld/
| |-- 2025-01-17T09-02-22_custom_vqgan_SYNTHETIC_LIVINGROOM_PARK_LARGE_EP100/ # contains the VQGAN model checkpoint for ObjaWorld
| |-- custom_vqgan_embedding_256SYNTHETIC_LIVINGROOM_PARK_LARGE_EP100_256dim.npy # contains the VQGAN codebook for ObjaWorld
|-- objectron/
| |-- 2024-11-03T05-41-42_custom_vqgan_OMNI3D_OBJECTRON_ep200/ # contains the VQGAN model checkpoint for Objectron
| |-- custom_vqgan_embedding_256Omni3D-OBJECTRON_256dim.npy # contains the VQGAN codebook for Objectron
Images and Scenes for Evaluation
The images-and-scenes-for-evaluation folder contains all the groundtruth images and scenes for the datasets used in the Kyvo project. The images and scenes are used to compute the evaluation metrics for the different tasks. The images and scenes are stored in the following structure:
images-and-scenes-for-evaluation/
|-- clevr/ # contains all images and scenes for evaluation for CLEVR
|-- objaworld/ # contains all images and scenes for evaluation for ObjaWorld
|-- objectron/ # contains all scenes for evaluation for Objectron
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