datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
question-answering-ukrainian-json-answersInvoice-to-Json
Invoice-to-Json Dataset
Dataset Description
Dataset Summary
Invoice-to-Json is a dataset designed for document understanding and information extraction tasks. It consists of document images paired with questions and answers, specifically focused on extracting structured information (JSON format) from documents.
Supported Tasks
Document Question Answering: The dataset supports training models to answer questions about document content
Information… See the full description on the dataset page: https://huggingface.co/datasets/shubh303/Invoice-to-Json.Invoice-to-Json
Invoice-to-Json Dataset
Dataset Description
Dataset Summary
Invoice-to-Json is a dataset designed for document understanding and information extraction tasks. It consists of document images paired with questions and answers, specifically focused on extracting structured information (JSON format) from documents.
Supported Tasks
Document Question Answering: The dataset supports training models to answer questions about document content
Information… See the full description on the dataset page: https://huggingface.co/datasets/acoustichao/Invoice-to-Json.MtG-json-to-ForgeScriptJSON-Unstructured-StructuredDataset Contains Synthetically Generated Unstructured Text, Set of Rules for Schema Creation, Filled Structured JSON
Can be used for any unstructured to structured tasks
herman-json-mode
Herman: Indonesian Single-Turn JSON Mode
Herman is an Indonesian language dataset specifically designed
for training LLMs using a single-turn JSON mode. This dataset
is used in Supervised Fine-Tuning (SFT) to improve JSON parsing
capabilities in LLMs. Herman was obtained from Hermes and translated
into Indonesian for the purpose of training Indonesian language models.
Code used for constructing Herman can be found here.
Schema Format
The desired JSON schema can… See the full description on the dataset page: https://huggingface.co/datasets/SulthanAbiyyu/herman-json-mode.JSON_PreferenceAUTOSAR_CONFIGURATION_PROMPT_TO_JSONE-Commerce_Customer_Support_Conversations_JSON_OutputJSON_Preference_decomposed
JSON_Preference_decomposed
A length / syntax / semantic decomposition of the original
nruia/JSON_Preference
dataset. For each preference pair (y1, y2), two intermediate responses
y2'' (double prime) and y2' (prime) are added so that the total
alignment gap
G(y1, y2) = log P(y1 | x) - log P(y2 | x)
can be decomposed along a path of intermediate latent representations:
Step
Quantity
Interpretation
1
`log P(y2''
x) - log P(y2
2
`log P(y2'
x) - log P(y2''
3
`log P(y1
x)… See the full description on the dataset page: https://huggingface.co/datasets/Bojian92/JSON_Preference_decomposed.Raw-Web-Scraped-to-JSONfinancial_conversation_summary
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/jsonfin17/financial_conversation_summary.json_with_nulljsonsearch2Race-text-to-quiz-jsonjsoncodes
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/haris001/jsoncodes.json_datatext_to_jsonjsonsearchIntiial-Knowledge-And-Detailed-Assessment-JSON-Format-DataHiCaD_claims_with_prompt_jsonjson_datajson_lama_chat_1000humanize_jsoncompuer-use-commands-and-jsontext-json-datageneral_json_extractjson-output-bart-beerRAG-with-jsonjson-pub