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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 281, in _generate_tables
                  examples = [ujson_loads(line) for line in 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/parquet_and_info.py", line 1379, 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 956, 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 1702, 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 1887, 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

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4728877b-50b4-4f73-bc2d-cb9559fb9993
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[ "{\"id\":\"45c6ad3e-383d-4416-9a14-48660a1223ea\",\"taskGroupId\":\"a21a0b2d-7aae-414e-bb28-8fe23cdc063f\",\"linkA\":{\"id\":\"A\",\"url\":\"generative_ui_without_adaptive_reward_and_structured_representation_and_iterative_refinement_claude_3.7\\/019.html\",\"title\":\"Example A\",\"description\":\"Please open or p...
End of preview.

Introduction

GENERATIVE INTERFACES FOR LANGUAGE MODELS

Jiaqi Chen*, Yanzhe Zhang*, Yutong Zhang, Yijia Shao, Diyi Yang
Stanford University

Home Page, Paper, Code

Structure

This repository contains the following main directories:

  • generated_uis/ - Generated user interfaces from different models and configurations
    • conversational_ui_claude_3.7/ - Conversational UIs generated by Claude 3.7
    • conversational_ui_gpt_4o/ - Conversational UIs generated by GPT-4o
    • generative_ui_claude_3.7/ - Generative UIs with full framework features
    • generative_ui_without_adaptive_reward_claude_3.7/ - Ablation study without adaptive reward
    • generative_ui_without_adaptive_reward_and_structured_representation_claude_3.7/ - Ablation without adaptive reward and structured representation
    • generative_ui_without_adaptive_reward_and_structured_representation_and_iterative_refinement_claude_3.7/ - Ablation without key framework components
    • instructed_ui_claude3.7/ - Instructed UIs generated by Claude 3.7
  • uix_benchmark/ - Benchmark prompts and evaluation suite
  • raw_evaluation_results/ - Raw human and LLM evaluation data
  • real_user_queries/ - Results for real user queries human study
  • scripts/ - Analysis and data processing scripts
  • dataviewer/ - Interactive data viewer for exploring results

Results

Run the following command to reproduce the results:

python scripts/analysis.py

Data Viewer

Open the data viewer in the browser.

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Paper for UserTGD/GenUI