datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
csv-excel-ingest-trajectories
Csv Excel Ingest Trajectories
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated payload is now published under
data/raw/. It is available for inspection and… See the full description on the dataset page: https://huggingface.co/datasets/rmems/csv-excel-ingest-trajectories.chatinterface_with_image_csv
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Source Data… See the full description on the dataset page: https://huggingface.co/datasets/abidlabs/chatinterface_with_image_csv.chatinterface_with_image_csv3
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Source Data… See the full description on the dataset page: https://huggingface.co/datasets/abidlabs/chatinterface_with_image_csv3.dpo_wtq_csv_workforcechatinterface_with_image_csv4
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Source Data… See the full description on the dataset page: https://huggingface.co/datasets/abidlabs/chatinterface_with_image_csv4.aristotle_csvchatinterface_with_image_csv2
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Source Data… See the full description on the dataset page: https://huggingface.co/datasets/abidlabs/chatinterface_with_image_csv2.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-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.truthy-dpo-csvbank_statement_markdown_to_csvllama3_train.csvcsvaeAnythingLLM-csvArguAna_csvadaption-kol-decisions-clean-csv
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-kol_decisions_clean.csv
A dataset containing 48 samples.
Dataset size
There are 1,031 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is A, with a relative quality improvement of 50.0%.
Domain
Corporate-business (25%)
Career-workplace (17%)
Market-analysis… See the full description on the dataset page: https://huggingface.co/datasets/MEMECRYPTO/adaption-kol-decisions-clean-csv.poa-qa-dataset-csvCsv-CommandToCodedataset.csvpdf_to_csv_up1pidgin_csvcrc-ai-csvpdf_to_csv