datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
irs-990-parsed
IRS 990 Parsed Nonprofit Database
Public relational extract of IRS Form 990 / 990-EZ / 990-PF filings, plus the colocated public files we join for address research: CMS NPPES + T-MSIS Medicare spend, FMCSA DOT carriers, OFAC SDN, FEC committees, and the IRS EO BMF.
Generated: 2026-08-17Tables: 34Rows (sum): 459,069,505License: CC0 / public domain — derived from U.S. government recordsHub: https://huggingface.co/datasets/piercewetter3/irs-990-parsed
Layout
Tables… See the full description on the dataset page: https://huggingface.co/datasets/piercewetter3/irs-990-parsed.apigen-mt-5k-parsed
[PARSED] APIGen-MT-5k
The data in this dataset is a full of the original Salesforce/APIGen-MT-5k
Subset name
multi-turn
parallel
multiple definition
Last turn type
number of dataset
apigen-mt-5k
yes
no
yes
complex
5k
This is a re-parsing formatting dataset for the APIGen-MT-5k official dataset.
Load the dataset
from datasets import load_dataset
ds = load_dataset("minpeter/apigen-mt-5k-parsed")
print(ds)
# DatasetDict({
# train: Dataset({
#… See the full description on the dataset page: https://huggingface.co/datasets/minpeter/apigen-mt-5k-parsed.quantum-computing
Neura Parse — Quantum Computing
A multi-format quantum computing dataset spanning theory and hardware — from qubits, gates, and algorithms to QPUs, error correction, quantum software (Qiskit/Cirq/PennyLane), and quantum machine learning. Records come as instruction/response pairs, open and multiple-choice Q&A, runnable code tasks, encyclopedic concepts, and pretraining-style text, so the dataset supports SFT, evaluation, and continued pretraining under one schema.
Part of… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-computing.parser_dataset
parser_dataset
Parser training and evaluation data for multi-hop QA with long concatenated document contexts.
Derived from HotpotQA and 2WikiMultihopQA.
Contents
Path
Split
Samples
Notes
train/hotpotqa_train_process_emb-select_llm-unable.parquet
train
HotpotQA processed train
VERL / ParserRLHFDataset format
2wiki_val/eval_{N}.json
eval
128 per file
2WikiMultihopQA, N documents per example
hqa_val/eval_{N}.json
eval
128 per file
HotpotQA, N documents… See the full description on the dataset page: https://huggingface.co/datasets/inNexus/parser_dataset.fault-tolerant-quantum-computing
Neura Parse — Fault-Tolerant Quantum Computing: QEC Codes, Decoders, Magic States & Resource Estimation
A deep, Stim-informed vertical on fault tolerance — QEC code families, decoders, fault-tolerant gate constructions, and the full physical-to-logical resource-estimation pipeline. Expands the general dataset's handful of error-correction topics into research-grade coverage including the 2024-2026 milestones: surface-code below threshold, qLDPC/bivariate-bicycle memories… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing.quantum-simulation-chemistry-materials
Neura Parse — Quantum Simulation of Chemistry & Materials: Encodings, VQE/QPE & Dynamics
An application-deep, code-backed vertical on simulating quantum matter: electronic-structure problems, fermion-to-qubit encodings, Hamiltonian factorizations, ground/excited-state and real-time-dynamics algorithms, and analog simulation, with end-to-end resource estimates and honest classical-competitor accounting. Built with Qiskit Nature, OpenFermion, PennyLane-QChem, and PySCF — far… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials.quantum-information-and-complexity-theory
Neura Parse — Quantum Information & Complexity Theory: Channels, Entropies, Classes & the Structure of Advantage
A proof-based theoretical-foundations vertical uniting quantum information theory (channels, entropies, entanglement measures, distinguishability, capacities, Shannon theory) with quantum complexity theory and the structure of quantum advantage (classes, Hamiltonian complexity, sampling-based advantage and its verification, pseudorandomness, dequantization).… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-information-and-complexity-theory.quantum-machine-learning-models
Neura Parse — Quantum Machine Learning Models: Encodings, Kernels, QNNs & Generative/Deep Architectures
A hands-on, code-first vertical on quantum models that learn from data. Spans data encodings/feature maps, variational classifiers, quantum kernels/QSVMs, and quantum neural networks through modern generative and deep architectures (quantum GANs, circuit Born machines, quantum Boltzmann machines, QCNNs, quantum autoencoders, quantum RL, and quantum… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models.omnimcp_healthtech_hl7_parser_teaser
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_healthtech_hl7_parser_teaser.quantum-error-mitigation-and-benchmarking
Neura Parse — Quantum Error Mitigation, Characterization & Benchmarking
A pre-fault-tolerance, code-backed vertical on getting trustworthy answers from noisy hardware and rigorously measuring device quality: error-mitigation techniques, characterization/tomography protocols, and benchmarking suites. Runnable Mitiq, pyGSTi, and Qiskit Experiments pipelines with honest sampling-overhead and bias/variance accounting — the practitioner and research toolkit the general dataset… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-error-mitigation-and-benchmarking.quantum-networking-and-distributed
Neura Parse — Quantum Networking, Repeaters & Distributed Quantum Computing
A systems-frontier vertical on connecting quantum devices: entanglement distribution and distillation, quantum repeaters, quantum-internet protocol stacks, quantum memories/transduction, and modular/distributed quantum computing (nonlocal gates, circuit knitting across nodes, blind/verifiable delegated computation). Covers protocol and simulation methods used with tools such as NetSquid and SeQUeNCe… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-networking-and-distributed.quantum-compilation-and-programming
Neura Parse — Quantum Compilation & Programming
A code-heavy vertical on the quantum software/compilation stack: turning abstract quantum circuits and unitaries into device-executable programs. Covers unitary decomposition and circuit synthesis (Euler/ZYZ, KAK/Cartan, Solovay-Kitaev, Ross-Selinger gridsynth, numerical synthesis with BQSKit), gate-set/basis transpilation to native gate sets, qubit layout/mapping and routing under connectivity constraints (SABRE, VF2, SWAP… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming.ai-for-quantum
Neura Parse — AI for Quantum: ML & LLMs for Decoding, Control, Characterization & Software
The reverse quantum-AI direction — classical machine learning, RL, and LLMs/agents applied to make quantum computers work. Covers neural/transformer QEC decoders (AlphaQubit-style), RL/ML pulse and calibration control, neural-network quantum states, ML tomography and Hamiltonian/noise learning, learned circuit optimization, and LLM/agentic quantum software engineering (code generation… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/ai-for-quantum.quantum-optimization
Neura Parse — Quantum Optimization, Annealing & Finance: QAOA, Adiabatic Methods & the Advantage Question
A research-plus-practitioner vertical on quantum approaches to combinatorial and continuous optimization and their most-piloted enterprise use cases. Covers QAOA theory and variants, adiabatic/annealing methods and D-Wave, QUBO/Ising encodings, amplitude-estimation Monte Carlo for finance, and the rigorous question of whether and where quantum beats classical (including… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-optimization.Parse
A reasoning-focused open-domain Question Answering benchmark for Persian (FA)covering Boolean, Factoid, and Multiple-choice questions with Reasoning + Multi-hop settings.
✨ Highlights
🧠 Designed to evaluate reasoning capabilities of LLMs in a low-resource language
✅ Supports Zero-shot, Few-shot, and Chain-of-Thought (CoT) evaluation
🧪 Includes scripts for automatic evaluation + fine-tuning utilities
👥 Comes with human evaluation interfaces (quality + difficulty… See the full description on the dataset page: https://huggingface.co/datasets/JamshidJDMY/Parse.finRAG
finRAG Datasets
This is the official Huggingface repo of the finRAG datasets published by parsee.ai.
More detailed information about the 3 datasets and methodology can be found in the sub-directories for the individual datasets.
We wanted to investigate how good the current state of the art (M)LLMs are at solving the relatively simple problem of extracting revenue figures from publicly available financial reports. To test this, we created 3 different datasets, all based on the same… See the full description on the dataset page: https://huggingface.co/datasets/parsee-ai/finRAG.advanced-quantum-algorithms
Neura Parse — Advanced Quantum Algorithms: Derivations, QSVT/Block-Encoding & Hamiltonian Simulation
A derivation- and resource-analyzed algorithms vertical spanning the canonical fault-tolerant canon (with full proofs, complexity, and worked traces) and the modern QSVT/block-encoding toolkit through Hamiltonian simulation, amplitude estimation, and quantum linear systems. Turns the general dataset's one-topic-per-algorithm summaries into line-by-line derivations, lower… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms.quantum-machine-learning-theory
Neura Parse — Quantum Machine Learning Theory: Trainability, Generalization & Learning From Quantum Data
A research-depth, proof-oriented vertical on the learning theory of quantum models and quantum data. Covers why parameterized quantum circuits train or don't (barren plateaus), what they can represent, when they generalize or provably beat classical models, and — for quantum data — how to predict properties of unknown states/channels with few measurements (classical… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory.quantum-hardware-device-physics
Neura Parse — Quantum Hardware Device Physics: Qubit Design, Coherence, Control & Scaling
A physics- and engineering-deep vertical on how qubits are built, controlled, and scaled across superconducting, trapped-ion, neutral-atom, and spin modalities (plus emerging erasure/biased-noise qubits). Device-physics derivations, coherence-limit analyses, control-stack engineering, and 2025-2026 scaling/interconnect work, with QuTiP/scqubits simulation context — expanding the general… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics.quantum-sensing-and-metrology
Neura Parse — Quantum Sensing & Metrology: Fisher Information, the Heisenberg Limit & Entanglement-Enhanced Sensors
A physics- and estimation-theory-deep vertical on the second quantum revolution's sensing pillar: how quantum Fisher information and the Cramer-Rao bound set ultimate precision, how entanglement and squeezing push sensors from the standard quantum limit toward the Heisenberg limit, and how these ideas are realized in optical atomic clocks, NV-center… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-sensing-and-metrology.sql-parsedquantum-cryptography-and-post-quantum-security
Neura Parse — Quantum Cryptography & Post-Quantum Security
A deep vertical on cryptography that uses quantum mechanics and on classical cryptography built to resist quantum attack. It covers quantum key distribution (BB84, B92, six-state, SARG04, E91, BBM92, decoy-state, MDI-QKD, TF-QKD, CV-QKD), device-independent protocols, composable and finite-key security proofs, quantum hacking with countermeasures, classical post-processing (reconciliation, privacy amplification… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-cryptography-and-post-quantum-security.revenues-example
Revenues Sample Dataset
parsee-core version used: 0.1.3.14
This dataset was created on the basis of 15 pages from annual/quarterly filings of major German stock-exchange listed companies (PDF files).
All PDF files are publicly accessible on parsee.ai, to access them copy the "source_identifier" (first column) and paste it in this URL (replace '{SOURCE_IDENTIFIER}' with the actual identifier):
https://app.parsee.ai/documents/view/{SOURCE_IDENTIFIER}
So for example:… See the full description on the dataset page: https://huggingface.co/datasets/parsee-ai/revenues-example.topological-quantum-computing
Neura Parse — Topological Quantum Computing
A deep vertical dataset on topological quantum computing: the physics and computational theory of anyons and topologically ordered phases, non-abelian braiding and fusion, Majorana zero modes and the Kitaev chain, Fibonacci (universal) vs Ising (Clifford-only) anyons, topological (Majorana) qubits and measurement-only braiding protocols, the toric code as a Z2 topological phase (not merely a QEC code), fractional quantum Hall… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/topological-quantum-computing.invoices-example
Inoices Sample Dataset
This is a sample dataset generated on app.parsee.ai for invoices. The goal was to evaluate different LLMs on this RAG task using the Parsee evaluation tools. A full study can be found here: https://github.com/parsee-ai/parsee-datasets/blob/main/datasets/invoices/parsee-loader/README.md
parsee-core version used: 0.1.3.11
This dataset was created on the basis of 15 sample invoices (PDF files).
All PDF files are publicly accessible on parsee.ai, to access them… See the full description on the dataset page: https://huggingface.co/datasets/parsee-ai/invoices-example.bosonic-photonic-quantum-computing
Neura Parse — Bosonic, Continuous-Variable & Photonic Quantum Computing
A focused vertical on the continuous-variable and photonic route to quantum computing: bosonic error-correcting codes (cat, GKP, binomial), Gaussian and measurement-based photonic architectures, and fusion-based/dual-rail approaches — a self-contained paradigm with its own error-correction physics. Covers CV and bosonic simulation methods with Strawberry Fields / Bosonic Qiskit context, deepening the… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/bosonic-photonic-quantum-computing.math_trajectory_parsed
MATH Trajectory Parsed
Overview
This dataset contains DeepSeek-R1 reasoning trajectories for MATH-style problems, each decomposed into a sequence of labeled reasoning steps. Every trajectory is provided at two levels of granularity in parallel: the full-length text of each step (steps), and a condensed summary of each step (step summaries), with a short descriptor (step descriptors) linking the two.
The dataset has two problem sources:
Config
Rows
Problem… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/math_trajectory_parsed.parse-gpt-tr
ParseGPT Turkish
This is a Turkish dataset gathered from various individuals via the ChatGPT Conversation Parser by beratcmn.
This dataset gets updated every time someone uses the ChatGPT Conversation Parser to parse a conversation.
This dataset contains conversations from various individuals. The conversations are in Turkish and are in the form of a list of messages. Each message has an index, a role (either "user" or "assistant"), and the text of the message.
Contact… See the full description on the dataset page: https://huggingface.co/datasets/beratcmn/parse-gpt-tr.tkgm-2024-6-sft-cins-tashihi-parselasyon
TKGM 2024/6 Cins Tashihi ve Parselasyon SFT Dataset
📋 Dataset Açıklaması
TKGM 2024/6 sayılı cins tashihi ve parselasyon genelgesine dayalı SFT veri seti.
📖 Kaynak Mevzuat
TKGM 2024-6 Sayılı Genelgesi
Kaynak mevzuat Türkiye Cumhuriyeti'nin kamuya açık resmî metnidir.
⚖️ Lisans
CC BY 4.0 — Creative Commons Attribution 4.0 International
Kaynak mevzuat kamuya açık resmî metin olup bu veri seti ve üretilen katkılar aynı lisans altında paylaşılabilir.… See the full description on the dataset page: https://huggingface.co/datasets/kilicai/tkgm-2024-6-sft-cins-tashihi-parselasyon.ufo-parsed-results
Declassified UFO/UAP Documents Parsed with Unsiloed
129 declassified U.S. government UAP/UFO documents, parsed and structured for AI use by Unsiloed AI.
Covers FBI field reports, CIA memos, NASA Apollo/Skylab crew debriefs, Air Force incident logs, DIA intelligence records, and recent congressional UAP disclosures — spanning 1944 to 2026.
What's in the files
Each JSON in parsed_output/ contains:
{
"chunks": [
{
"chunk_id": "uuid",
"embed": "Markdown text… See the full description on the dataset page: https://huggingface.co/datasets/UnsiloedAI/ufo-parsed-results.