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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'id', 'user_id', 'input', 'profile'}) and 2 missing columns ({'task', 'golds'}).
This happened while the json dataset builder was generating data using
hf://datasets/Hannahisme/LaMP_5_time-based/train_questions.json (at revision 2862a43d9965f283a2ddc3701eb7e9868553e9ce)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
input: string
profile: list<item: struct<abstract: string, date: int64, id: string, title: string>>
child 0, item: struct<abstract: string, date: int64, id: string, title: string>
child 0, abstract: string
child 1, date: int64
child 2, id: string
child 3, title: string
user_id: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 546
to
{'task': Value('string'), 'golds': {'id': Value('string'), 'output': Value('string')}}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'id', 'user_id', 'input', 'profile'}) and 2 missing columns ({'task', 'golds'}).
This happened while the json dataset builder was generating data using
hf://datasets/Hannahisme/LaMP_5_time-based/train_questions.json (at revision 2862a43d9965f283a2ddc3701eb7e9868553e9ce)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
task string | golds dict |
|---|---|
LaMP_5 | {
"id": "1100",
"output": "CSC-Detector: A System to Infer Large-Scale Probing Campaigns."
} |
LaMP_5 | {
"id": "1101",
"output": "Needle & Knot: Binder Boilerplate Tied Up."
} |
LaMP_5 | {
"id": "1102",
"output": "Aggregate nearest neighbor search methods using SSMTA* algorithm on road-network"
} |
LaMP_5 | {
"id": "1103",
"output": "Automatic Assessment of Hoarding Clutter from Images Using Convolutional Neural Networks"
} |
LaMP_5 | {
"id": "1104",
"output": "Nested Convex Bodies are Chaseable."
} |
LaMP_5 | {
"id": "1105",
"output": "Relicpad: A Hands-On, Mobile Approach To Collaborative Exploration Of Virtual Museum Artifacts"
} |
LaMP_5 | {
"id": "1106",
"output": "Towards Environment Independent Device Free Human Activity Recognition."
} |
LaMP_5 | {
"id": "1107",
"output": "Iterative Refinement of Approximate Posterior for Training Directed Belief Networks"
} |
LaMP_5 | {
"id": "1108",
"output": "NCScope: Hardware-Assisted Analyzer for Native Code in Android Apps"
} |
LaMP_5 | {
"id": "1109",
"output": "User Trust Dynamics: An Investigation Driven by Differences in System Performance."
} |
LaMP_5 | {
"id": "11010",
"output": "An Effective Iterated Greedy Algorithm for a Robust Distributed Permutation Flowshop Problem With Carryover Sequence-Dependent Setup Time"
} |
LaMP_5 | {
"id": "11011",
"output": "How Deterministic are Good-For-Games Automata?"
} |
LaMP_5 | {
"id": "11012",
"output": "Redundancy-Aware and Budget-Feasible Incentive Mechanism in Crowd Sensing"
} |
LaMP_5 | {
"id": "11013",
"output": "Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks."
} |
LaMP_5 | {
"id": "11014",
"output": "Amplifying human cognition: bridging the cognitive gap between human and machine."
} |
LaMP_5 | {
"id": "11015",
"output": "Towards a granular computing approach based on Formal Concept Analysis for discovering periodicities in data."
} |
LaMP_5 | {
"id": "11016",
"output": "Making split-fabrication more secure."
} |
LaMP_5 | {
"id": "11017",
"output": "Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes"
} |
LaMP_5 | {
"id": "11018",
"output": "Time-Space Trade-offs in Resolution: Superpolynomial Lower Bounds for Superlinear Space."
} |
LaMP_5 | {
"id": "11019",
"output": "A Unified Framework for Training Neural Networks."
} |
LaMP_5 | {
"id": "11020",
"output": "Possession identification in text."
} |
LaMP_5 | {
"id": "11021",
"output": "Synthetic incident generation in the reenactment of IT support organization behavior"
} |
LaMP_5 | {
"id": "11022",
"output": "Dynamic Power Allocation and User Scheduling for Power-Efficient and Low-Latency Communications."
} |
LaMP_5 | {
"id": "11023",
"output": "User modeling and usage profiling based on temporal posting behavior in OSNs."
} |
LaMP_5 | {
"id": "11024",
"output": "Algebraic proof theory: Hypersequents and hypercompletions."
} |
LaMP_5 | {
"id": "11025",
"output": "Self-Adaptive Capacity Controller: A Reinforcement Learning Approach"
} |
LaMP_5 | {
"id": "11026",
"output": "3D Target Localization of Modified 3D MUSIC for a Triple-Channel K-Band Radar."
} |
LaMP_5 | {
"id": "11027",
"output": "Gaze Tracking and Object Recognition from Eye Images"
} |
LaMP_5 | {
"id": "11028",
"output": "Information preservation in static index pruning"
} |
LaMP_5 | {
"id": "11029",
"output": "Reverse Engineering Digital ICs through Geometric Embedding of Circuit Graphs."
} |
LaMP_5 | {
"id": "11030",
"output": "e-governance in federal government websites: the cases of Canada and Mexico"
} |
LaMP_5 | {
"id": "11031",
"output": "Constant-Time Tree Traversal and Subtree Equality Check for Grammar-Compressed Trees."
} |
LaMP_5 | {
"id": "11032",
"output": "Why computing students learn on their own : motivation for self-directed learning of computing"
} |
LaMP_5 | {
"id": "11033",
"output": "Outage Behavior of Integer Forcing With Random Unitary Pre-Processing."
} |
LaMP_5 | {
"id": "11034",
"output": "Conditional Submodular Coherent Risk Measures."
} |
LaMP_5 | {
"id": "11035",
"output": "Search Result Diversity Evaluation Based on Intent Hierarchies."
} |
LaMP_5 | {
"id": "11036",
"output": "A Novel Error Performance Analysis Methodology for OFDM-IM."
} |
LaMP_5 | {
"id": "11037",
"output": "Lower semicontinuity of solution mappings for parametric fixed point problems with applications."
} |
LaMP_5 | {
"id": "11038",
"output": "A Fractional Cartesian Composition Model for Semi-Spatial Comparative Visualization Design."
} |
LaMP_5 | {
"id": "11039",
"output": "Incremental Maintenance of Aggregate Views"
} |
LaMP_5 | {
"id": "11040",
"output": "A moving target defense and network forensics framework for ISP networks using SDN and NFV."
} |
LaMP_5 | {
"id": "11041",
"output": "Optimization Algorithms for Kinematically Optimal Design of Parallel Manipulators"
} |
LaMP_5 | {
"id": "11042",
"output": "Self-Monitoring Navigation Agent via Auxiliary Progress Estimation."
} |
LaMP_5 | {
"id": "11043",
"output": "IoTtalk: A Management Platform for Reconfigurable Sensor Devices."
} |
LaMP_5 | {
"id": "11044",
"output": "A humanoid walking pattern generator for sole design optimization"
} |
LaMP_5 | {
"id": "11045",
"output": "Variation aware cross-talk aggressor alignment by mixed integer linear programming"
} |
LaMP_5 | {
"id": "11046",
"output": "Critical nodes in interdependent networks with deterministic and probabilistic cascading failures"
} |
LaMP_5 | {
"id": "11047",
"output": "On the complexity of partial derivatives."
} |
LaMP_5 | {
"id": "11048",
"output": "Partitioning Road Network Streams Based on Runtime Correlation Discovery"
} |
LaMP_5 | {
"id": "11049",
"output": "Can I have more of these please?: Assisting researchers in finding similar research papers from a seed basket of papers."
} |
LaMP_5 | {
"id": "11050",
"output": "Vlsi Design Of A Power-Efficient Object Detector Using Pcanet"
} |
LaMP_5 | {
"id": "11051",
"output": "Testing Hereditary Properties of Ordered Graphs and Matrices"
} |
LaMP_5 | {
"id": "11052",
"output": "MEMCOP: memory-aware co-operative power management governor for mobile games."
} |
LaMP_5 | {
"id": "11053",
"output": "SNOD: a fast sampling method of exploring node orbit degrees for large graphs"
} |
LaMP_5 | {
"id": "11054",
"output": "Safe Reinforcement Learning via Shielding"
} |
LaMP_5 | {
"id": "11055",
"output": "Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products."
} |
LaMP_5 | {
"id": "11056",
"output": "Non-contact transportation and rotation of micro objects by vibrating glass needle circularly under water."
} |
LaMP_5 | {
"id": "11057",
"output": "Exploiting parallelism in hierarchical content stores for high-speed ICN routers."
} |
LaMP_5 | {
"id": "11058",
"output": "Energy-efficient joint video encoding and transmission framework for WVSN."
} |
LaMP_5 | {
"id": "11059",
"output": "A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving"
} |
LaMP_5 | {
"id": "11060",
"output": "Hidden semantic hashing for fast retrieval over large scale document collection."
} |
LaMP_5 | {
"id": "11061",
"output": "More than just a game: ethical issues in gamification"
} |
LaMP_5 | {
"id": "11062",
"output": "Covariance Matrix Estimation for Massive MIMO."
} |
LaMP_5 | {
"id": "11063",
"output": "Local vector pattern in high-order derivative space for face recognition"
} |
LaMP_5 | {
"id": "11064",
"output": "Experiences & Challenges With Server-Side Wifi Indoor Localization Using Existing Infrastructure"
} |
LaMP_5 | {
"id": "11065",
"output": "A function-based computational method for design concept evaluation."
} |
LaMP_5 | {
"id": "11066",
"output": "Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction"
} |
LaMP_5 | {
"id": "11067",
"output": "A 5.5GHz 0.84TOPS/mm<sup>2</sup> neural network engine with stream architecture and resonant clock mesh"
} |
LaMP_5 | {
"id": "11068",
"output": "Temporal Frame Interpolation With Motion-Divergence-Guided Occlusion Handling."
} |
LaMP_5 | {
"id": "11069",
"output": "Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics."
} |
LaMP_5 | {
"id": "11070",
"output": "Two-sided search with experts"
} |
LaMP_5 | {
"id": "11071",
"output": "Energy-Efficient Distributed Resource Allocation With Low Overhead in Relay Cellular Networks."
} |
LaMP_5 | {
"id": "11072",
"output": "FPTAS for Minimizing the Earth Mover's Distance Under Rigid Transformations and Related Problems."
} |
LaMP_5 | {
"id": "11073",
"output": "A sufficient condition of equivalence of the Choquet and the pan-integral."
} |
LaMP_5 | {
"id": "11074",
"output": "Bayesian Traffic Light Parameter Tracking Based on Semi-Hidden Markov Models."
} |
LaMP_5 | {
"id": "11075",
"output": "Facilitating Collocated Crowdsourcing on Situated Displays."
} |
LaMP_5 | {
"id": "11076",
"output": "Big Data Assurance Evaluation: An SLA-Based Approach"
} |
LaMP_5 | {
"id": "11077",
"output": "Intelligent Reflecting Surface-Aided Spectrum Sensing for Cognitive Radio"
} |
LaMP_5 | {
"id": "11078",
"output": "RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment"
} |
LaMP_5 | {
"id": "11079",
"output": "Simulating the Visual Experience of Very Bright and Very Dark Scenes"
} |
LaMP_5 | {
"id": "11080",
"output": "Walk and learn: Enabling accurate indoor positioning by profiling outdoor movement on smartphones."
} |
LaMP_5 | {
"id": "11081",
"output": "Faster: A Low Overhead Framework for Massive Data Analysis"
} |
LaMP_5 | {
"id": "11082",
"output": "Hints to improve automatic load balancing with LeWI for hybrid applications"
} |
LaMP_5 | {
"id": "11083",
"output": "ReconOS: An Operating System Approach for Reconfigurable Computing"
} |
LaMP_5 | {
"id": "11084",
"output": "A survey of trust computation models for service management in internet of things systems."
} |
LaMP_5 | {
"id": "11085",
"output": "Distinct telomere length and molecular signatures in seminoma and non-seminoma of testicular germ cell tumor."
} |
LaMP_5 | {
"id": "11086",
"output": "Joint Effects of Jamming Interference and Disturbance in Networked Control Systems."
} |
LaMP_5 | {
"id": "11087",
"output": "A Roi-Based Self-Embedding Method With High Recovery Capability"
} |
LaMP_5 | {
"id": "11088",
"output": "A novel granular approach for detecting dynamic online communities in social network"
} |
LaMP_5 | {
"id": "11089",
"output": "Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems"
} |
LaMP_5 | {
"id": "11090",
"output": "Accurate per-link loss tomography in dynamic sensor networks."
} |
LaMP_5 | {
"id": "11091",
"output": "A Bias Compensation Strategy for Wheeled Mobile Robot Odometric Self-localization Algorithm"
} |
LaMP_5 | {
"id": "11092",
"output": "A queueing model of an energy harvesting sensor node with data buffering."
} |
LaMP_5 | {
"id": "11093",
"output": "Pre-Theory Design Frameworks and Design Theorizing"
} |
LaMP_5 | {
"id": "11094",
"output": "VulnerGAN: a backdoor attack through vulnerability amplification against machine learning-based network intrusion detection systems"
} |
LaMP_5 | {
"id": "11095",
"output": "Color texture recognition by color information fusion using the non-extensive entropy."
} |
LaMP_5 | {
"id": "11096",
"output": "Collaborative Dynamic Queries: Supporting Distributed Small Group Decision-making"
} |
LaMP_5 | {
"id": "11097",
"output": "Managing time-awareness in modularized processes"
} |
LaMP_5 | {
"id": "11098",
"output": "GoDeep: Intelligent IoV Service Deployment and Execution with Privacy Preservation in Cloud-edge Computing"
} |
LaMP_5 | {
"id": "11099",
"output": "Berwald And Favard Type Inequalities For Fuzzy Integrals"
} |
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