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README.md
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---
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license: cc-by-nc-sa-2.0
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dataset_info:
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features:
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- name: triples
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sequence:
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sequence: string
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- name: serialized_triples
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dtype: string
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- name: gen_sentence
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dtype: string
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splits:
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- name: train
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num_bytes: 1151066619.4379873
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num_examples: 6076768
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- name: validation
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num_bytes: 287766654.85949683
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num_examples: 1519192
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- name: test
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num_bytes: 75728186.70251589
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num_examples: 399788
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download_size: 909575687
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dataset_size: 1514561461.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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---
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license: cc-by-nc-sa-2.0
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dataset_info:
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features:
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- name: triples
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sequence:
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sequence: string
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- name: serialized_triples
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dtype: string
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- name: gen_sentence
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dtype: string
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splits:
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- name: train
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num_bytes: 1151066619.4379873
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+
num_examples: 6076768
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- name: validation
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num_bytes: 287766654.85949683
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+
num_examples: 1519192
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+
- name: test
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+
num_bytes: 75728186.70251589
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+
num_examples: 399788
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+
download_size: 909575687
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dataset_size: 1514561461.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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# 📘 Dataset Card: KELM Single-Triple Sample
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This is a filtered sample of the original [KELM](https://github.com/google-research-datasets/KELM-corpus) (Knowledge Enhanced Language Model) corpus, created and released by Google Research. The sample contains only the entries with a single triple, offering a more focused subset for lightweight experimentation or simplified use cases such as triple-to-text generation or controlled text generation.
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🔍 Key Details:
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+ The full dataset is available in the official [KELM repository](https://github.com/google-research-datasets/KELM-corpus).
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+ Only entries where the "triples" field has a length of 1 were included in this sample.
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📄 License: This dataset is licensed under CC BY-SA 2.0, in accordance with the original release by Google Research. This sample is a redistribution made publicly available for convenience and educational/research purposes on Hugging Face Datasets. No claim of authorship or originality is made.
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