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Datasets:
mamed0v
/
dolly-15k-turkmen

Tasks:
Question Answering
Summarization
Modalities:
Text
Formats:
json
Languages:
Turkmen
Size:
10K - 100K
Libraries:
Datasets
pandas
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metadata
task_categories:
  - question-answering
  - summarization
language:
  - tk
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: dolly_15k_turkmen.jsonl

Turkmen Dolly 15k Dataset

Overview

This dataset is a Turkmen translation of the original Dolly 15k dataset. The Dolly dataset is a publicly available instruction-following dataset created by Databricks, containing 15,000 high-quality human-generated prompt-response pairs. This Turkmen version aims to extend the accessibility of instruction-following datasets to the Turkmen language community.

Dataset Details

  • Original Dataset: Dolly 15k
  • Language: Turkmen
  • Number of Samples: 15,000
  • Types of Tasks: Various, including open-ended generation, classification, extraction, and more
  • Translation Method: Google Translate

File Format

The dataset is provided in JSONL (JSON Lines) format. Each line in the file represents a single JSON object with the following structure:

{
  "instruction": "Original instruction in English",
  "context": "Original context in English (if applicable)",
  "response": "Original response in English",
  "category": "Category of the task",
  "instruction_tk": "Instruction translated to Turkmen",
  "context_tk": "Context translated to Turkmen (if applicable)",
  "response_tk": "Response translated to Turkmen"
}

Example:

{
  "instruction": "In the series A Song of Ice and Fire, who is the founder of House Casterly?",
  "context": "",
  "response": "Corlos, son of Caster",
  "category": "open_qa",
  "instruction_tk": "\"Buz we ot aýdymy\" seriýasynda \"House Casterly\" -ny esaslandyryjy kim?",
  "context_tk": "",
  "response_tk": "Karlos, Kasteriň ogly"
}

Acknowledgments

  • Original Dolly 15k dataset creators: Databricks
  • Translation: Google Translate

Contact

For questions or issues regarding this dataset, please contact:

Disclaimer

The translations in this dataset were performed using Google Translate. While this approach allows for rapid translation of a large dataset, users should be aware that there might be inaccuracies, mistranslations, or loss of nuance, especially for complex or domain-specific content. Exercise caution when using this dataset for tasks requiring high precision in language understanding or generation.