datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
StructEval
StructEval: A Benchmark for Structured Output Evaluation in LLMs
StructEval is a benchmark dataset designed to evaluate the ability of large language models (LLMs) to generate and convert structured outputs across 18 different formats, and 44 types of tasks. It includes both renderable types (e.g., HTML, LaTeX, SVG) and non-renderable types (e.g., JSON, XML, TOML), supporting tasks such as format generation from natural language prompts and format-to-format conversion.… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/StructEval.structeval-t-sft-hq-yaml-cleaned
StructEval-T SFT HQ YAML (Cleaned)
このデータセットは、daichira/structeval-t-sft-hq-yaml をベースに、厳密なフォーマット検証とノイズ除去（クリーニング）を行ったものです。
StructEval-T等の構造化データ生成タスク（SFT向け）に最適化されています。
クリーニング統計情報
本データセットの構築時に、以下のクリーニング結果が得られました。
オリジナルレコード数: 2000 件
クリーニング後レコード数: 2000 件
除去されたCoTノイズ: 1528 件 ( Approach: ... Output: を物理的に切除 )
削減された無駄な文字列の総量: 705728 文字
最終YAMLパース成功率: 100%
データセット構築パイプライン（クリーニング手法）
不要テキストの物理的除去: Approach: ... Output: といった思考プロセスや、マークダウンのコードフェンス (```yaml) を正規表現で完全に削除しました。… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-hq-yaml-cleaned.structeval-t-sft-hq-yaml
StructEval-T SFT - High Quality YAML
This dataset is a highly refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated YAML transformations.
Key Features
Total Samples: 2,000
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid YAML without errors are included.
Goal: To maximize single-format fine-tuning performance or to be… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-hq-yaml.structeval-t-sft-v2-toml
StructEval-T SFT v2 - Full TOML
This dataset is the full, refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated TOML transformations.
Key Features
Total Samples: 3,635
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid TOML without errors are included.
Source: This is a split from the unified structeval-t-sft-v2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-v2-toml.structeval-t-sft-v2-yaml
StructEval-T SFT v2 - Full YAML
This dataset is the full, refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated YAML transformations.
Key Features
Total Samples: 5,628
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid YAML without errors are included.
Source: This is a split from the unified structeval-t-sft-v2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-v2-yaml.structeval-t-sft-v2-json
StructEval-T SFT v2 - Full JSON
This dataset is the full, refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated JSON transformations.
Key Features
Total Samples: 3,059
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid JSON without errors are included.
Source: This is a split from the unified structeval-t-sft-v2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-v2-json.structeval-t-sft-v2-csv
StructEval-T SFT v2 - Full CSV
This dataset is the full, refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated CSV transformations.
Key Features
Total Samples: 2,104
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid CSV without errors are included.
Source: This is a split from the unified structeval-t-sft-v2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-v2-csv.structeval-t-sft-hq-json
StructEval-T SFT - High Quality JSON
This dataset is a highly refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated JSON transformations.
Key Features
Total Samples: 2,000
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid JSON without errors are included.
Goal: To maximize single-format fine-tuning performance or to be… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-hq-json.structeval-t-sft-hq-csv
StructEval-T SFT - High Quality CSV
This dataset is a highly refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated CSV transformations.
Key Features
Total Samples: 2,000
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid CSV without errors are included.
Goal: To maximize single-format fine-tuning performance or to be used… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-hq-csv.structeval-t-sft-v2-xml
StructEval-T SFT v2 - Full XML
This dataset is the full, refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated XML transformations.
Key Features
Total Samples: 4,503
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid XML without errors are included.
Source: This is a split from the unified structeval-t-sft-v2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-v2-xml.structeval-sft-strict-chat-v1ise-uiuc_Magicoder-Evol-Instruct-110K_structeval_processed
Magicoder-Evol-Instruct-110K (StructEval SFT Processed)
Processed derivative of ise-uiuc/Magicoder-Evol-Instruct-110K for StructEval-style structured output SFT.
Source dataset: ise-uiuc/Magicoder-Evol-Instruct-110K
Source URL: https://huggingface.co/datasets/ise-uiuc/Magicoder-Evol-Instruct-110K
Source license (from dataset card metadata): apache-2.0
Processed dataset: daichira/ise-uiuc_Magicoder-Evol-Instruct-110K_structeval_processed
Processed URL:… See the full description on the dataset page: https://huggingface.co/datasets/daichira/ise-uiuc_Magicoder-Evol-Instruct-110K_structeval_processed.structeval-t-sft-hq-toml
StructEval-T SFT - High Quality TOML
This dataset is a highly refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated TOML transformations.
Key Features
Total Samples: 2,000
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid TOML without errors are included.
Goal: To maximize single-format fine-tuning performance or to be… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-hq-toml.structeval-structured-clean-thinkless
StructEval cleaned thinkless dataset (v08)
Merged from v4 and hard-4k; assistant outputs are normalized to + raw structured output.
Source Datasets
u-10bei/structured_data_with_cot_dataset_512_v4
daichira/structured-hard-sft-4k
Processing
Merge train splits from two source datasets
Remove CoT/preamble/code fences in assistant outputs
Normalize assistant output format to:
<think>
</think>
{raw structured output}
Split
train
structeval-t-sft-hq-xml
StructEval-T SFT - High Quality XML
This dataset is a highly refined, format-specific subset for StructEval-T, focusing exclusively on strictly validated XML transformations.
Key Features
Total Samples: 2,000
Verified Quality: 100% strictly validated using AST/parsers (e.g. json.loads, xml.etree.ElementTree, yaml.safe_load). Only samples that successfully parse as valid XML without errors are included.
Goal: To maximize single-format fine-tuning performance or to be used… See the full description on the dataset page: https://huggingface.co/datasets/daichira/structeval-t-sft-hq-xml.processed_structeval_datasetperfect-structeval-sft-dataset-v3perfect-structeval-sft-datasetperfect-structeval-sft-dataset-v2