datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PDExplBenchPDEBench-1D
Dataset Card for "PDEBench-1D"
More Information needed
pde-transformer-ape2dPDEBench-1D-full
Dataset Card for "PDEBench-1D-full"
More Information needed
staatsblad-synth-nl
Synthetic Dutch from the Belgisch Staatsblad
Diverse, fluent Dutch pretraining text synthesized from
guust-franssens/belgisch-staatsblad
(CC0, Belgian official-gazette filings). Adds Belgium/Flanders coverage to Dutch LM pretraining
mixes, where clean Belgian-Dutch prose is otherwise scarce.
The source text is noisy OCR from scanned PDFs, but its metadata (company, juridical form,
act type, city, date) is clean. A local LLM (google/gemma-2-9b-it)
"launders" the OCR + metadata… See the full description on the dataset page: https://huggingface.co/datasets/pdelobelle/staatsblad-synth-nl.PDEBench-1DPDE5_Inhibitor_Designs_2H42
PDE5 Inhibitor Designs — 2H42 / GA-II
Why this target matters. PDE5 inhibitors are among the most widely prescribed drugs in the world, and the target remains actively pursued in pulmonary arterial hypertension and cardiac indications far beyond its original use.
2,090 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the catalytic pocket of human cGMP-specific phosphodiesterase 5 (PDE5A), taken from the sildenafil co-crystal 2H42 (2.3… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/PDE5_Inhibitor_Designs_2H42.PDExplorer-Bench
ID
is_turbulent
type_non_turbulent
type_turbulent
is_newtonian
powerlaw
carreau
is_dilatant
newtonian_type
is_compressible
type_body_force
is_isothermal
1
0
0
0
1
0
0
0
1
0
0
1
2
0
0
0
1
0
0
0
1
0
1
1
3
0
0
0
1
0
0
0
1
1
0
1
4
0
0
0
1
0
0
0
1
1
1
1
5
0
1
0
1
0
0
0
1
0
0
1
6
0
1
0
1
0
0
0
1
0
1
1
7
0
1
0
1
0
0
0
1
1
0
1
8
0
1
0
1
0
0
0
1
1
1
1
9
0
0
0
1
0
0
0
0
0
0
1
10
0
0
0
1
0
0
0
0
0
1
1
11
0
0
0
1
0
0
0
0
1
0
1
12
0
0
0
1
0
0
0
0
1
1
1
13
0
0
0
0
0
1
0
0… See the full description on the dataset page: https://huggingface.co/datasets/anonymousneurips12345/PDExplorer-Bench.FSI-pde-dataset
Multi-Physics Fluid-Solid Interaction Dataset
From Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
How to Download ?from huggingface_hub import snapshot_download
folder_path = snapshot_download(
repo_id="ashiq24/FSI-pde-dataset",
repo_type="dataset",
allow_patterns=["fsi-data/*"]
)
Dataset Description: Fluid-Solid Interaction Simulations (fsi-data)
This dataset contains simulations of fluid dynamics (using the Navier-Stokes… See the full description on the dataset page: https://huggingface.co/datasets/ashiq24/FSI-pde-dataset.fineweb-dutch-edu-mt
FineWeb-Edu Dutch Machine Translated
Machine-translated Dutch text dataset derived from the FineWeb-Edu corpus.
Dataset Details
Source: HuggingFaceFW/fineweb-edu (sample-10BT subset)
Translation: English → Dutch using Unbabel/Tower-Plus-9B
Size: Up to 1.5M samples
Format: Translated text with original metadata
Schema
text: Machine-translated Dutch text
id: Original sample identifier from FineWeb-Edu
url: Source URL
Quality Notice
⚠️ This… See the full description on the dataset page: https://huggingface.co/datasets/pdelobelle/fineweb-dutch-edu-mt.synth-nl
SYNTH-NL
Dutch language subset of the SYNTH dataset by Pleias and the AI Alliance.
This dataset contains only the Dutch (nl) language samples from the original SYNTH corpus, which comprises synthetic training data generated from Wikipedia and Wikibooks articles.
Source Dataset: PleIAs/SYNTH
License: CDLA-Permissive-2.0
Language: Dutch (nl)
For complete dataset documentation, methodology, and usage guidelines, refer to the original SYNTH repository.
pdecert-pilot
PDECert Natural-Candidate Pilot
This is a provenance-bearing pilot benchmark for checking symbolic candidate
solutions to partial differential equations. Each row contains the unedited
generator output, a fully instantiated verification case, content digest,
producer metadata, and completed human annotation.
Dataset summary
Records: 20
Symbolic-solver outputs: 10
Open-model outputs: 10
Valid: 10
Invalid: 10
Unclear: 0
Corpus SHA-256:… See the full description on the dataset page: https://huggingface.co/datasets/oroikono/pdecert-pilot.nemotron-dutch-mt
Nemotron Post-Training Dataset (Dutch Translation)
Machine-translated Dutch version of NVIDIA's Nemotron Post-Training Dataset, specifically the chat conversations.
Dataset Details
Source: nvidia/Nemotron-Post-Training-Dataset-v2 (chat split)
Translation: English → Dutch using Unbabel/Tower-Plus-9B
Size: 445,287 conversations with 1,327,548 total messages
Format: Conversational data with original structure preserved
Dataset Statistics
Total… See the full description on the dataset page: https://huggingface.co/datasets/pdelobelle/nemotron-dutch-mt.spinning-up-in-pde
Spinning Up in PDE Solvers
From Lewis Fry Richardson's forecast factory to differentiable physics — a hands-on curriculum tracing the lineage of computational PDE solvers
In 1922, Lewis Fry Richardson published Weather Prediction by Numerical Process — a 236-page proposal to forecast the atmosphere by hand, using a "forecast factory" of 64,000 human computers seated in a vast amphitheatre, each solving a finite-difference cell. His own six-hour test forecast diverged… See the full description on the dataset page: https://huggingface.co/datasets/mhough/spinning-up-in-pde.pde-llm-eval-cross-representation-dataset
pde-llm-eval-cross-representation-dataset
Cross-Representation Dataset. 32 physical systems, one row each, with FOUR representations of every system -- source code, natural-language description, governing equation, and numerical trajectory -- each given in its correct form and in its corrupted form. Code additionally comes with real and obfuscated identifiers, and the trajectory with four kinds of corruption (randomly generated values, values permuted within the original… See the full description on the dataset page: https://huggingface.co/datasets/bermaneh/pde-llm-eval-cross-representation-dataset.pde-llm-eval-code-perturbation-dataset
pde-llm-eval-code-perturbation-dataset
Code Perturbation Dataset (final). 256 PDE solver implementations: 64 base programs (32 physically valid, 32 with an injected bug that still runs to completion) expanded by 4 lexical perturbation conditions each -- original comments, comments removed, comments swapped in from a different implementation, and descriptive identifiers replaced by meaningless placeholders. The perturbations change the lexical surface only; executable behaviour… See the full description on the dataset page: https://huggingface.co/datasets/bermaneh/pde-llm-eval-code-perturbation-dataset.cc-nl-retrieval
Common Corpus NL — Retrieval
Compliant Dutch retrieval data over the Dutch section of Common Corpus.
Queries are LLM-generated (Gemini) with a factored diversity sampler; hard negatives are mined with a
semantic retriever. Used to finetune RobBERT-2026. 49,202 passages.
queries — passage_id, collection (Common Corpus provenance), passage, query,
meta (qtype, register, length, persona_uuid)
triples — query, positive, negative_1…negative_4 (for contrastive / hard-negative… See the full description on the dataset page: https://huggingface.co/datasets/pdelobelle/cc-nl-retrieval.fineweb-german-edu-mtfineweb-dutch-synthetic-mt
FineWeb Dutch Synthetic MT
Machine-translated Dutch text dataset derived from the Aleph-Alpha GermanWeb synthetic corpus.
Dataset Details
Source: Aleph-Alpha/Aleph-Alpha-GermanWeb (synthetic split)
Translation: German → Dutch using Unbabel/Tower-Plus-9B
Size: ~300k+ samples (subset of 398M total)
Format: Plain text with sample IDs
Schema
text: Machine-translated Dutch text
id: Original sample identifier
Quality Notice
⚠️ This is… See the full description on the dataset page: https://huggingface.co/datasets/pdelobelle/fineweb-dutch-synthetic-mt.world-cup-2022-tweetswikipedia_summaries
Contents
This dataset contains text summaries of 150 topics extracted from Wikipedia. The topics range from simplistic (e.g. sun) to somewhat specific (e.g. machine learning).
Usage
This dataset was created for use with the book Real-Time Machine Learning by Prema Roman and Patrick Deziel and its official github repository
pde-probe-pilot-probe-pooled-mean-pool-v1
pde-probe-pilot-probe-pooled-mean-pool-v1
LOGO-CV pooled linear probe results (mean_pool), all labels × all layers. 128 rows, 8 mod_types.
Dataset Info
Rows: 270
Columns: 17
Columns
Column
Type
Description
label
Value('large_string')
Target label probed (pde_class, process_*, method_*, phys_valid)
layer
Value('large_string')
Transformer layer index (0=embedding, 1-28=transformer) or 'bow'
pool
Value('large_string')
Pooling strategy (mean_pool)… See the full description on the dataset page: https://huggingface.co/datasets/rosubramanian/pde-probe-pilot-probe-pooled-mean-pool-v1.fakeverifier-datasetmath-pdepdemandspde-training-datasetpde-probe-pilot-probe-pooled-last-tok-v1
pde-probe-pilot-probe-pooled-last-tok-v1
LOGO-CV pooled linear probe results (last_tok), all labels × all 29 layers. 128 rows, 8 mod_types. Complete.
Dataset Info
Rows: 270
Columns: 17
Columns
Column
Type
Description
label
Value('large_string')
Target label probed (pde_class, process_*, method_*, phys_valid)
layer
Value('large_string')
Transformer layer index (0=embedding, 1-28=transformer) or 'bow'
pool
Value('large_string')
Pooling strategy… See the full description on the dataset page: https://huggingface.co/datasets/rosubramanian/pde-probe-pilot-probe-pooled-last-tok-v1.mediflow-mtfakeverifier-llama-datasetkmfdataset