datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
awall-pi-strategy-views
Awall PI Strategy Views
4.551 linhas (1.342 âncoras) — um subconjunto do
quickium/awall-pi-quartets em que
cada prompt ganhou quatro descrições textuais geradas por LLM, olhando o mesmo ataque por
ângulos diferentes.
view
mediana
o que descreve
strategy_desc
279 chars
a técnica do prompt, direta
strategy_esp
349 chars
a técnica em contraste com a população de prompts parecidos
strategy_alt
476 chars
a leitura alternativa — como o prompt se defenderia de ser ataque… See the full description on the dataset page: https://huggingface.co/datasets/quickium/awall-pi-strategy-views.SWE-Bench-Verified-Quick
SWE-Bench-Verified-Quick
Quick-eval subset of
princeton-nlp/SWE-bench_Verified
(SWE-bench paper): 468 / 500 Verified instances.
Default dataset of the swebench_v1 taskset; also supported by the v0 mini_swe_agent_plus
environment.
Changes vs upstream
Latency subset only — drops the slowest-running instances so a full benchmark pass
finishes in under ~30 minutes at reasonable concurrency. No validation semantics; "Verified"
in the name is OpenAI's human… See the full description on the dataset page: https://huggingface.co/datasets/PrimeIntellect/SWE-Bench-Verified-Quick.quickb-qa
quickb-qa
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Question Generation
Model: openai/gpt-4o-mini
Deduplication threshold: 0.85
Results:
Total questions generated: 13292
Questions after deduplication: 11116
Dataset Structure
anchor: The generated… See the full description on the dataset page: https://huggingface.co/datasets/Mitchell6024/quickb-qa.customer-support-synth-quickdemo
expanded_E-commerce_and_SaaS_customer_support_(orders,_shipping,_billing,_subscriptions,_app_troubleshooting)
Synthetic customer-support dataset generated with synth-dataset-kit.
What Is Included
train.jsonl: training split in JSONL chat format
eval_summary.json: minimal evaluation and generation summary
expanded_E-commerce_and_SaaS_customer_support_(orders,_shipping,_billing,_subscriptions,_app_troubleshooting)_quality_report.html: visual quality report… See the full description on the dataset page: https://huggingface.co/datasets/Enkiboy/customer-support-synth-quickdemo.quickb-kb
quickb-kb
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Chunking Configuration
Chunker: RecursiveTokenChunker
Parameters:
chunk_size: 400
chunk_overlap: 0
length_type: 'character'
separators: ['\n\n', '\n', '.', '?', '!', ' ', '']
keep_separator: True… See the full description on the dataset page: https://huggingface.co/datasets/AdamLucek/quickb-kb.quickb
quickb
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Chunking Configuration
Chunker: RecursiveTokenChunker
Parameters:
chunk_size: 400
chunk_overlap: 50
length_type: 'character'
separators: ['\n\n', '\n', '.', '?', '!', ' ', '']
keep_separator: True… See the full description on the dataset page: https://huggingface.co/datasets/Mitchell6024/quickb.quickb-qa
quickb-qa
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Question Generation
Model: openai/gpt-4o-mini
Deduplication threshold: 0.85
Results:
Total questions generated: 80
Questions after deduplication: 80
Dataset Structure
anchor: The generated… See the full description on the dataset page: https://huggingface.co/datasets/onecd2000/quickb-qa.quickb-kb
quickb-kb
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Chunking Configuration
Chunker: RecursiveTokenChunker
Parameters:
chunk_size: 400
chunk_overlap: 0
length_type: 'character'
separators: ['\n\n', '\n', '.', '?', '!', ' ', '']
keep_separator: True… See the full description on the dataset page: https://huggingface.co/datasets/Mdean77/quickb-kb.quickb-qa
quickb-qa
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Question Generation
Model: openai/gpt-4o-mini
Deduplication threshold: 0.85
Results:
Total questions generated: 148
Questions after deduplication: 142
Dataset Structure
anchor: The generated… See the full description on the dataset page: https://huggingface.co/datasets/Nuf-hugginface/quickb-qa.Coq-QuickChick
Coq-QuickChick
Randomized property-based testing plugin for Coq, inspired by QuickCheck.
Source
Repository: https://github.com/QuickChick/QuickChick
Commit: 5a6c291b11e9affe059c0e1812612bc474d0a129
Files: 109
License: mit
Schema
Column
Type
Description
statement
string
Declaration signature/claim with the leading keyword removed (verbatim slice); the full declaration minus its proof
proof
string
Verbatim proof/body, empty if the… See the full description on the dataset page: https://huggingface.co/datasets/phanerozoic/Coq-QuickChick.quickb-qa
quickb-qa
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Question Generation
Model: openai/gpt-4o-mini
Deduplication threshold: 0.85
Results:
Total questions generated: 2098
Questions after deduplication: 1742
Dataset Structure
anchor: The generated… See the full description on the dataset page: https://huggingface.co/datasets/Mdean77/quickb-qa.quickb-qa
quickb-qa
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Question Generation
Model: openai/gpt-4o-mini
Deduplication threshold: 0.85
Results:
Total questions generated: 11111
Questions after deduplication: 9724
Dataset Structure
anchor: The generated… See the full description on the dataset page: https://huggingface.co/datasets/AdamLucek/quickb-qa.quickb-kb
quickb-kb
Generated using QuicKB, a tool developed by Adam Lucek.
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
Chunking Configuration
Chunker: RecursiveTokenChunker
Parameters:
chunk_size: 400
chunk_overlap: 0
length_type: 'character'
separators: ['\n\n', '\n', '.', '?', '!', ' ', '']
keep_separator: True… See the full description on the dataset page: https://huggingface.co/datasets/Nuf-hugginface/quickb-kb.hermes3-quick-probes-multilingual
Hermes3 Quick Probes (Multilingual, Reasoning ON/OFF)
Міні-датасет (20 прикладів) для швидкої перевірки Hermes-3 у режимах reasoning ON/OFF (UA/ES/EN/ID).
Ціль — легкі sanity-checks: де потрібне міркування, а де достатньо стислої відповіді.
Формат
Файл: data.jsonl, по 1 JSON-об’єкту на рядок з полями:
id (string) — унікальний ідентифікатор
lang (uk|es|en|id)
reasoning ("on"|"off")
prompt (string)
expect (dict, опційно: keywords/max_sentences/answer)
Як… See the full description on the dataset page: https://huggingface.co/datasets/segs/hermes3-quick-probes-multilingual.