datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
idt5-v4-results-final-lora-s123-20260912T013040606815Z
final-lora-s123-20260912T013040606815Z
Run artifacts and per-item predictions.
Phase: final. These are newly generated results, not a reproduction of the legacy TCI tables.
See run_manifest.json, rules.json, generation_protocol.json and checkpoint_hashes.json. Structural scores do not establish semantic or Bloom validity.
Metrics
{
"n": 267,
"rule_version": "structural-proxy-v0.4-grounding-separated",
"parse_success_pct": 94.7565543071161,
"bleu":… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/idt5-v4-results-final-lora-s123-20260912T013040606815Z.afrofinchain-multilingual-web3
AfroFinChain — Multilingual Web3 & Blockchain Dataset
Multilingual Web3 & blockchain dataset in Yoruba, Hausa, Igbo, and Nigerian Pidgin with 1,451 terminology entries and 1,451 conversational Q&A pairs. Designed for LLM fine-tuning, financial literacy, and conversational AI in low-resource African languages. Uses culturally grounded analogies (e.g., ajo, adashi, isusu) to make DeFi concepts actually understandable.
Built with Adaptive Data by Adaption as part of the Adaption… See the full description on the dataset page: https://huggingface.co/datasets/FirstBML1/afrofinchain-multilingual-web3.idt5-v4-results-final-lora-s2026-20260912T034640190015Z
final-lora-s2026-20260912T034640190015Z
Run artifacts and per-item predictions.
Phase: final. These are newly generated results, not a reproduction of the legacy TCI tables.
See run_manifest.json, rules.json, generation_protocol.json and checkpoint_hashes.json. Structural scores do not establish semantic or Bloom validity.
Metrics
{
"n": 267,
"rule_version": "structural-proxy-v0.4-grounding-separated",
"parse_success_pct": 95.88014981273409,
"bleu":… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/idt5-v4-results-final-lora-s2026-20260912T034640190015Z.indo-bloom-corpus
🇮🇩 Indo-Bloom-AQG: A Unified Framework for Controllable Indonesian AQG
⚠️ RESEARCH ARTIFACT STATUS: SILVER VERSION (Work in Progress)
This dataset serves as the preliminary corpus (Silver Standard) for the ongoing Doctoral Dissertation at Universitas Negeri Malang (UM).
Current State: Unannotated / Pre-validation with Heuristic Bloom Labels
Target Final State: Gold Standard (Expert Validated with Bloom's Taxonomy Labels)
🔒 FROZEN — v0.1 Silver
This version is permanently… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/indo-bloom-corpus.idt5-v4-results-final-fft-s2026-20260911T063507183162Z
final-fft-s2026-20260911T063507183162Z
Run artifacts and per-item predictions.
Phase: final. These are newly generated results, not a reproduction of the legacy TCI tables.
See run_manifest.json, rules.json, generation_protocol.json and checkpoint_hashes.json. Structural scores do not establish semantic or Bloom validity.
Metrics
{
"n": 267,
"rule_version": "structural-proxy-v0.4-grounding-separated",
"parse_success_pct": 88.01498127340824,
"bleu":… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/idt5-v4-results-final-fft-s2026-20260911T063507183162Z.idt5-v4-results-final-lora-s42-20260912T063343815032Z
final-lora-s42-20260912T063343815032Z
Run artifacts and per-item predictions.
Phase: final. These are newly generated results, not a reproduction of the legacy TCI tables.
See run_manifest.json, rules.json, generation_protocol.json and checkpoint_hashes.json. Structural scores do not establish semantic or Bloom validity.
Metrics
{
"n": 267,
"rule_version": "structural-proxy-v0.4-grounding-separated",
"parse_success_pct": 92.88389513108615,
"bleu":… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/idt5-v4-results-final-lora-s42-20260912T063343815032Z.idt5-v4-results-final-fft-s42-20260910T135823740810Z
final-fft-s42-20260910T135823740810Z
Run artifacts and per-item predictions.
Phase: final. These are newly generated results, not a reproduction of the legacy TCI tables.
See run_manifest.json, rules.json, generation_protocol.json and checkpoint_hashes.json. Structural scores do not establish semantic or Bloom validity.
Metrics
{
"n": 267,
"rule_version": "structural-proxy-v0.4-grounding-separated",
"parse_success_pct": 93.63295880149813,
"bleu":… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/idt5-v4-results-final-fft-s42-20260910T135823740810Z.idt5-v4-results-final-fft-s123-20260910T215641650583Z
final-fft-s123-20260910T215641650583Z
Run artifacts and per-item predictions.
Phase: final. These are newly generated results, not a reproduction of the legacy TCI tables.
See run_manifest.json, rules.json, generation_protocol.json and checkpoint_hashes.json. Structural scores do not establish semantic or Bloom validity.
Metrics
{
"n": 267,
"rule_version": "structural-proxy-v0.4-grounding-separated",
"parse_success_pct": 93.25842696629213,
"bleu":… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/idt5-v4-results-final-fft-s123-20260910T215641650583Z.first-impressions-dataset
First Impressions Dataset
The dataset contains 20,000 images of people. For each person, a first impression of them was created. The first impression is a text consisting of several sentences.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset
Content
The dataset includes a folder with images of 20,000 people. The .csv file consists of columns:
image_id - the… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/first-impressions-dataset.first-dataset
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/baiyinnamula/first-dataset.IndoBloom-AQG-Benchmark-Corpus
📚 Indo-Bloom AQG Benchmark Corpus (All Models)
⚠️ RESEARCH ARTIFACT STATUS: BENCHMARK / SILVER CORPUS (Stage 1)
This dataset serves as the comparative benchmark corpus for the Indo-Bloom research project at Universitas Negeri Malang (UM).
Current State: LLM-Generated QA Pairs Evaluated via Rule-Based Evaluator
Next Stage: Expert Annotation (Stage 2) → Gold Standard
🔒 FROZEN — Benchmark v1.0
This version is permanently frozen to ensure reproducibility of the experimental… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/IndoBloom-AQG-Benchmark-Corpus.indo-bloom-raw-bse
📚 Indo-Bloom BSE RAW Corpus
⚠️ RESEARCH ARTIFACT STATUS: RAW CORPUS (Stage 0)
This dataset serves as the raw material corpus for the Indo-Bloom research project at Universitas Negeri Malang (UM).
Current State: Extracted & Cleaned Context from BSE Textbooks
Next Stage: QA Pair Generation (Stage 1) → Silver Corpus
🔒 FROZEN — Raw v1.0
This version is permanently frozen to ensure reproducibility. This corpus will be used as input for QA generation pipeline.
📄 Associated… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/indo-bloom-raw-bse.hf-first