datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DGUI_HYPERMEM-JEV
DGUI_HYPERMEM-JEV
The training "brain" for DGUI-HyperMem (DeckerGUI HyperMemory) — the self-hosted
memory MCP server. Every JEV reasoning decision the service makes is appended here as a
typed instruction row, so the corpus grows with real usage and can be used to fine-tune or
few-shot the JEV layer later.
Usage
from datasets import load_dataset
ds = load_dataset("ctaxnagomi/DGUI_HYPERMEM-JEV", split="train")
for row in ds.stream():
print(row["use_case"]… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/DGUI_HYPERMEM-JEV.d2l4asr-wiki-jaINSTRUCT_JEV
INSTRUCT_JEV
INSTRUCT_JEV is an instruction corpus built from the TypeSafe AI documentation
for Jev, the first System One model. It is structured around the three TypeSafe
question primitives - Choice, Noul and Score - and mirrors the raw corpus
captured in deckerGUI-jev_corpus_RAW.
Credits
INSTRUCT_JEV is a DeckerGUI project and exists because of the work below.
Who
Contribution
Link
TypeSafe AI
Jev - the first System One model - and the Choice / Noul… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/INSTRUCT_JEV.d2l4asr-wiki-en_audioikema_youtube_asr_full_with_longSLR35_javaneseflux-klein-datasetkillkan
Killkan: Speech Recognition dataset for Kichwa
Killkan (Kichwa uyachkata payllatak killkak anta) is the first automatic speech recognition (ASR) dataset for the Kichwa language.
See also our paper (https://arxiv.org/abs/2404.15501).
d2l4asr-wiki-encorpuslib-topics
CORPUSLIB Topics Dataset
CORPUSLIB — Agentic Corpus Library for Indirect Learning
This dataset contains the topic catalog for DeckerGUI's CORPUSLIB system. CORPUSLIB is a link-gated knowledge library focused on indirect learning as the AI/agentic technology space evolves.
Purpose
Fallback system: When main learning sources are unavailable or undergoing maintenance, CORPUSLIB provides backup topic links
Agent training: Structured topic data for training agentic… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/corpuslib-topics.HarmfulVsEthical_redteaming_eval_v3bintulu-llm-dataset
Bintulu LLM Dataset
A text-to-text (prompt → answer) corpus about Bintulu, Sarawak — its national
parks, beaches, energy industry, history, food, transport and guesthouse
hospitality. Built for two uses:
Fine-tuning a text-to-text LLM (instruction, QA, dialogue, translation,
NLI, MCQ).
Embedding/retrieval — every row's text field (canonically equal to
input_text) is the embeddable surface for a vector store.
Schema
Each JSONL row:
field
type
meaning… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/bintulu-llm-dataset.corpuslib-ctecx-knowledge
CORPUSLIB CTECX Knowledge Dataset
CORPUSLIB — Agentic Corpus Library for Indirect Learning
Knowledge compiled from CTECX Technologies Solutions & Services documentation.
Source documents land in corpus_learn/<collection>/ and each section becomes a
topic row in this dataset. Primary portal: https://corpuslib-ui.deckergui.my.
Schema
Field
Type
Description
id
int
Unique topic identifier
topic
string
Topic name (document section heading)
category… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/corpuslib-ctecx-knowledge.d2l4asr-wiki-en_contextcta-price-prediction
Dataset Card for Weather-Driven Sri Lankan Tea Market Catalogues
Dataset Description
This dataset contains 12,233 structured records extracted from 105 weekly Forbes & Walker Tea Brokers PDF reports spanning from November 2023 to March 2026. It represents the first machine-readable, comprehensive archive of the Colombo Tea Auction (CTA) prices paired with localized, region-specific lagged weather variables from the Open-Meteo historical archive.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/colombo-tea-auction-prices/cta-price-prediction.deckergui-token-usage-logs
Token usage analytics dataset from DeckerGUI ecosystem. Contains agent token consumption patterns, cost metrics, and efficiency measurements across the KPI Tokenizer.
Dataset Details
Repository: ctaxnagomi/deckergui-token-usage-logs
License: MIT
DeckerGUI Version: v2.0.0
Created: 2026-08-17
Dataset Schema
See metadata.json for the full schema definition.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/deckergui-token-usage-logs.deckergui-code-generation
Code generation and reasoning pairs from DeckerGUI development sessions. Contains user instructions, context, and model-generated code for TypeScript, Markdown, and JSON.
Dataset Details
Repository: ctaxnagomi/deckergui-code-generation
License: MIT
DeckerGUI Version: v2.0.0
Created: 2026-08-17
Dataset Schema
See metadata.json for the full schema definition.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/deckergui-code-generation.CTA-synthetic-dataset
German Instagram Political Communication 2021 - Synthetic Call to Action Dataset
Dataset Overview
This dataset consists of synthetic training data used to detect Calls to Action (CTAs) in German political Instagram content from the 2021 Federal Election. The synthetic data was generated using OpenAI's GPT-4o to augment original human-annotated examples. The dataset aims to address class imbalance issues for improved model performance in political communication studies.… See the full description on the dataset page: https://huggingface.co/datasets/chaichy/CTA-synthetic-dataset.ikema_dict_asrdeon_train_llama2_v3util_rewardtrainerpapi_asr_testconlang_eval_dataset
Evaluation data for IASC
This dataset contains the evaluation data used in the research paper "Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs".
License
This dataset is available under the CC BY-SA 4.0 license. The dataset is gated to minimize evaluation data contamination.
Citation
@misc{taguchi2026creatingconlangsprobemetalinguistic,
title={Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs}… See the full description on the dataset page: https://huggingface.co/datasets/ctaguchi/conlang_eval_dataset.deckergui-agent-coordination
Agent heartbeat and coordination data from DeckerGUI ecosystem. Contains agent registry snapshots, heartbeat intervals, staleness detection, and counter metrics.
Dataset Details
Repository: ctaxnagomi/deckergui-agent-coordination
License: MIT
DeckerGUI Version: v2.0.0
Created: 2026-08-17
Dataset Schema
See metadata.json for the full schema definition.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/deckergui-agent-coordination.papi_asrdeckergui-whitepaper
Technical whitepaper documentation corpus for DeckerGUI. Chunked sections covering architecture, protocols, vision, and implementation details.
Dataset Details
Repository: ctaxnagomi/deckergui-whitepaper
License: MIT
DeckerGUI Version: v2.0.0
Created: 2026-08-17
Dataset Schema
See metadata.json for the full schema definition.
Usage
from datasets import load_dataset
ds = load_dataset("ctaxnagomi/deckergui-whitepaper")
print(ds)… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/deckergui-whitepaper.ikema_dictionary_examples_datasetCTAButil_train_llama2_v3virt_train_llama2_v3