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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
id: string
title: string
authors: string
abstract: string
pdf_url: string
source_url: string
year: string
conference: string
decision: string
related_notes: list<item: struct<review_id: string, paper_id: string, reviewer: string, paper_summary: string, stre (... 224 chars omitted)
child 0, item: struct<review_id: string, paper_id: string, reviewer: string, paper_summary: string, strengths: stri (... 212 chars omitted)
child 0, review_id: string
child 1, paper_id: string
child 2, reviewer: string
child 3, paper_summary: string
child 4, strengths: string
child 5, weaknesses: string
child 6, comments: string
child 7, overall_score: string
child 8, confidence: string
child 9, contribution: null
child 10, correctness: string
child 11, clarity_quality_novelty_reproducibility: string
child 12, recommendation: string
child 13, tldr: string
content: string
content_meta: struct<table_of_contents: list<item: struct<title: string, heading_level: null, page_id: int64, poly (... 356 chars omitted)
child 0, table_of_contents: list<item: struct<title: string, heading_level: null, page_id: int64, polygon: list<item: list<item: (... 11 chars omitted)
child 0, item: struct<title: string, heading_level: null, page_id: int64, polygon: list<item: list<item: double>>>
child 0, title: string
child 1, heading_level: null
child 2, page_id: int64
child 3, polygon: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, page_stats: list<item: struct<page_id: int64, text_extraction_method: string, block_counts: list<item: list<item (... 179 chars omitted)
child 0, item: struct<page_id: int64, text_extraction_method: string, block_counts: list<item: list<item: string>>, (... 167 chars omitted)
child 0, page_id: int64
child 1, text_extraction_method: string
child 2, block_counts: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 3, block_metadata: struct<llm_request_count: int64, llm_error_count: int64, llm_tokens_used: int64, previous_text: stri (... 49 chars omitted)
child 0, llm_request_count: int64
child 1, llm_error_count: int64
child 2, llm_tokens_used: int64
child 3, previous_text: string
child 4, previous_type: string
child 5, previous_order: int64
child 2, debug_data_path: string
avg_rating: string
review_ratings: string
context: string
to
{'title': Value('string'), 'authors': Value('string'), 'abstract': Value('string'), 'pdf_url': Value('string'), 'source_url': Value('string'), 'id': Value('string'), 'decision': Value('string'), 'avg_rating': Value('string'), 'review_ratings': Value('string'), 'year': Value('string'), 'conference': Value('string'), 'context': Value('string'), 'related_notes': List({'review_id': Value('string'), 'paper_id': Value('string'), 'reviewer': Value('null'), 'paper_summary': Value('string'), 'strengths': Value('string'), 'weaknesses': Value('string'), 'comments': Value('string'), 'overall_score': Value('string'), 'confidence': Value('string'), 'contribution': Value('null'), 'correctness': Value('string'), 'clarity_quality_novelty_reproducibility': Value('string'), 'recommendation': Value('string'), 'tldr': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
title: string
authors: string
abstract: string
pdf_url: string
source_url: string
year: string
conference: string
decision: string
related_notes: list<item: struct<review_id: string, paper_id: string, reviewer: string, paper_summary: string, stre (... 224 chars omitted)
child 0, item: struct<review_id: string, paper_id: string, reviewer: string, paper_summary: string, strengths: stri (... 212 chars omitted)
child 0, review_id: string
child 1, paper_id: string
child 2, reviewer: string
child 3, paper_summary: string
child 4, strengths: string
child 5, weaknesses: string
child 6, comments: string
child 7, overall_score: string
child 8, confidence: string
child 9, contribution: null
child 10, correctness: string
child 11, clarity_quality_novelty_reproducibility: string
child 12, recommendation: string
child 13, tldr: string
content: string
content_meta: struct<table_of_contents: list<item: struct<title: string, heading_level: null, page_id: int64, poly (... 356 chars omitted)
child 0, table_of_contents: list<item: struct<title: string, heading_level: null, page_id: int64, polygon: list<item: list<item: (... 11 chars omitted)
child 0, item: struct<title: string, heading_level: null, page_id: int64, polygon: list<item: list<item: double>>>
child 0, title: string
child 1, heading_level: null
child 2, page_id: int64
child 3, polygon: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, page_stats: list<item: struct<page_id: int64, text_extraction_method: string, block_counts: list<item: list<item (... 179 chars omitted)
child 0, item: struct<page_id: int64, text_extraction_method: string, block_counts: list<item: list<item: string>>, (... 167 chars omitted)
child 0, page_id: int64
child 1, text_extraction_method: string
child 2, block_counts: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 3, block_metadata: struct<llm_request_count: int64, llm_error_count: int64, llm_tokens_used: int64, previous_text: stri (... 49 chars omitted)
child 0, llm_request_count: int64
child 1, llm_error_count: int64
child 2, llm_tokens_used: int64
child 3, previous_text: string
child 4, previous_type: string
child 5, previous_order: int64
child 2, debug_data_path: string
avg_rating: string
review_ratings: string
context: string
to
{'title': Value('string'), 'authors': Value('string'), 'abstract': Value('string'), 'pdf_url': Value('string'), 'source_url': Value('string'), 'id': Value('string'), 'decision': Value('string'), 'avg_rating': Value('string'), 'review_ratings': Value('string'), 'year': Value('string'), 'conference': Value('string'), 'context': Value('string'), 'related_notes': List({'review_id': Value('string'), 'paper_id': Value('string'), 'reviewer': Value('null'), 'paper_summary': Value('string'), 'strengths': Value('string'), 'weaknesses': Value('string'), 'comments': Value('string'), 'overall_score': Value('string'), 'confidence': Value('string'), 'contribution': Value('null'), 'correctness': Value('string'), 'clarity_quality_novelty_reproducibility': Value('string'), 'recommendation': Value('string'), 'tldr': Value('string')})}
because column names don't match
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 1694, 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 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
title string | authors string | abstract string | pdf_url string | source_url string | id string | decision string | avg_rating string | review_ratings string | year string | conference string | context string | related_notes list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models | Ron Vainshtein, Zohar Rimon, Shie Mannor, Chen Tessler | Recent advancements in imitation learning for robotic control have led to transformer-based behavior foundation models (BFMs) that enable multi-modal, human-like control for humanoid agents. These models generate solutions when conditioned on high-level goals or prompts, for example, walking to a coordinate when condit... | https://openreview.net/pdf?id=6T3wJQhvc3 | https://openreview.net/forum?id=6T3wJQhvc3 | 6T3wJQhvc3 | Accept (Poster) | 7.0 | 6, 8, 6, 8 | 2026 | ICLR | # TASK TOKENS: A FLEXIBLE APPROACH TO ADAPTING BEHAVIOR FOUNDATION MODELS
Ron Vainshtein
Technion
sronv@campus.technion.ac.il
Zohar Rimon
Technion
zohar.rimon@campus.technion.ac.il
Shie Mannor
Technion
shie@ee.technion.ac.il
Chen Tessler
NVIDIA Research
ctessler@nvidia.com
# ABSTRACT
Recent advancements i... | [
{
"review_id": "qvgPdlb7PI",
"paper_id": "6T3wJQhvc3",
"reviewer": null,
"paper_summary": "The paper received two accepts (8) from Reviewers up9Q and zBs9, and two borderline accepts (6) from Reviewers Vh4Q and MgVR. \nAll reviewers acknowledged the core contribution as sound, simple, and effective ... |
Jet Expansions: Restructuring LLM Computation for Model Inspection | Yihong Chen, Luca Franceschi, Xiangxiang Xu, Pontus Stenetorp, Sebastian Riedel | "Large language models are becoming general knowledge engines for diverse applications. However, the(...TRUNCATED) | https://openreview.net/pdf?id=u6JLh0BO5h | https://openreview.net/forum?id=u6JLh0BO5h | u6JLh0BO5h | Accept (Poster) | 7.0 | 8, 6, 8, 6 | 2026 | ICLR | "# JET EXPANSIONS: RESTRUCTURING LLM COMPUTA-TION FOR MODEL INSPECTION\n\nAnonymous authors\n\nPaper(...TRUNCATED) | [{"review_id":"ppf2tjeHLF","paper_id":"u6JLh0BO5h","reviewer":null,"paper_summary":"The paper introd(...TRUNCATED) |
Neuron-Aware Data Selection in Instruction Tuning for Large Language Models | "Xin Chen, Junchao Wu, Shu Yang, Runzhe Zhan, Zeyu Wu, Min Yang, Shujian Huang, Lidia S. Chao, Derek(...TRUNCATED) | "Instruction Tuning (IT) has been proven to be an effective approach to unlock the powerful capabili(...TRUNCATED) | https://openreview.net/pdf?id=uq6UWRgzMr | https://openreview.net/forum?id=uq6UWRgzMr | uq6UWRgzMr | Accept (Poster) | 4.5 | 4, 6, 4, 4 | 2026 | ICLR | "# NEURON-AWARE DATA SELECTION IN INSTRUCTIONTUNING FOR LARGE LANGUAGE MODELS\n\nAnonymous authors\n(...TRUNCATED) | [{"review_id":"hDrcrx852t","paper_id":"uq6UWRgzMr","reviewer":null,"paper_summary":"The paper propos(...TRUNCATED) |
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models | "Eric Wang, Licheng Pan, Yuan Lu, Zi Ciu Chan, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, (...TRUNCATED) | "The design of training objective is central to training time-series forecasting models. Existing tr(...TRUNCATED) | https://openreview.net/pdf?id=vpO8n9AqEG | https://openreview.net/forum?id=vpO8n9AqEG | vpO8n9AqEG | Accept (Poster) | 6.0 | 6, 6, 6 | 2026 | ICLR | "# QUADRATIC DIRECT FORECAST FOR TRAINING MULTI-STEP TIME-SERIES FORECAST MODELS\n\nAnonymous author(...TRUNCATED) | [{"review_id":"CWppD0Wm0J","paper_id":"vpO8n9AqEG","reviewer":null,"paper_summary":"The authors prop(...TRUNCATED) |
Submodular Function Minimization with Dueling Oracle | Kaien Sho, Shinji Ito | "We consider submodular function minimization using a \\textit{dueling oracle}, a noisy pairwise com(...TRUNCATED) | https://openreview.net/pdf?id=BeMtzSH1d7 | https://openreview.net/forum?id=BeMtzSH1d7 | BeMtzSH1d7 | Accept (Poster) | 6.0 | 6, 6, 8, 4 | 2026 | ICLR | "# SUBMODULAR FUNCTION MINIMIZATION WITH DUELING ORACLE\n\nAnonymous authors\n\nPaper under double-b(...TRUNCATED) | [{"review_id":"gIQlI7VBor","paper_id":"BeMtzSH1d7","reviewer":null,"paper_summary":"Paper studies su(...TRUNCATED) |
"Improving Semantic Proximity in English-Centric Information Retrieval through Cross-Lingual Alignme(...TRUNCATED) | Seongtae Hong, Youngjoon Jang, Hyeonseok Moon, Jungseob Lee, Heuiseok Lim | "With the increasing accessibility and utilization of multilingual documents, Cross-Lingual Informat(...TRUNCATED) | https://openreview.net/pdf?id=NvKvW5k6Kk | https://openreview.net/forum?id=NvKvW5k6Kk | NvKvW5k6Kk | Accept (Poster) | 5.0 | 6, 4, 4, 6 | 2026 | ICLR | "# IMPROVING SEMANTIC PROXIMITY IN ENGLISH-CENTRIC INFORMATION RETRIEVAL THROUGH CROSS-LINGUAL ALIGN(...TRUNCATED) | [{"review_id":"Deaewgx9Nj","paper_id":"NvKvW5k6Kk","reviewer":null,"paper_summary":"Paper Summary. T(...TRUNCATED) |
Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth | Harris Abdul Majid, Pietro Sittoni, Francesco Tudisco | "Accuracy-cost trade-offs are a fundamental aspect of scientific computing. Classical numerical meth(...TRUNCATED) | https://openreview.net/pdf?id=U2j9ZNgHqw | https://openreview.net/forum?id=U2j9ZNgHqw | U2j9ZNgHqw | Accept (Poster) | 5.5 | 4, 8, 2, 8 | 2026 | ICLR | "# TEST-TIME ACCURACY-COST CONTROL IN NEURAL SIMULATORS VIA RECURRENT-DEPTH\n\nAnonymous authors\n\n(...TRUNCATED) | [{"review_id":"bTtesZf78z","paper_id":"U2j9ZNgHqw","reviewer":null,"paper_summary":"* Reviewers gene(...TRUNCATED) |
CORDS - Continuous Representations of Discrete Structures | Tin Hadži Veljković, Erik J Bekkers, Michael Tiemann, Jan-Willem van de Meent | "Many learning problems require predicting sets of objects when the number of objects is not known b(...TRUNCATED) | https://openreview.net/pdf?id=RObkOKADBU | https://openreview.net/forum?id=RObkOKADBU | RObkOKADBU | Accept (Poster) | 5.2 | 4, 6, 8, 6, 2 | 2026 | ICLR | "# CORDS: CONTINUOUS REPRESENTATIONS OF DISCRETE STRUCTURES\n\nTin Hadzi Veljkovi ˇ c´\n\nUvA-Bosc(...TRUNCATED) | [{"review_id":"gz2MIITB6R","paper_id":"RObkOKADBU","reviewer":null,"paper_summary":"This paper propo(...TRUNCATED) |
MedAraBench: Large-scale Arabic Medical Question Answering Dataset and Benchmark | "Mouath Abu Daoud, Leen Kharouf, Omar El Hajj, Dana El Samad, Mariam Al-Omari, Jihad Mallat, Khaled (...TRUNCATED) | "Arabic remains one of the most underrepresented languages in natural language processing research, (...TRUNCATED) | https://openreview.net/pdf?id=1BXojAgNrg | https://openreview.net/forum?id=1BXojAgNrg | 1BXojAgNrg | Accept (Poster) | 4.67 | 8, 4, 2 | 2026 | ICLR | "# MedAraBench: Large-scale Arabic Medical Question Answering Dataset and Benchmark\n\nAnonymous aut(...TRUNCATED) | [{"review_id":"9E9eN5Xcq3","paper_id":"1BXojAgNrg","reviewer":null,"paper_summary":"The submission p(...TRUNCATED) |
Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting | Xiaogang Wang, Hongyu Wu, Wenfeng Song, Kai Xu | "This paper presents a unified framework for simulating and visualizing dynamic fracture phenomena i(...TRUNCATED) | https://openreview.net/pdf?id=zcAwK50ft0 | https://openreview.net/forum?id=zcAwK50ft0 | zcAwK50ft0 | Accept (Poster) | 5.0 | 6, 4, 8, 2 | 2026 | ICLR | "# FRACTURE-GS: DYNAMIC FRACTURE SIMULATION WITH PHYSICS-INTEGRATED GAUSSIAN SPLATTING\n\nXiaogang $(...TRUNCATED) | [{"review_id":"C08ke4FhRB","paper_id":"zcAwK50ft0","reviewer":null,"paper_summary":"This paper propo(...TRUNCATED) |
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