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README.md
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dtype: int64
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splits:
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- name: train
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num_bytes: 123987035
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num_examples: 89971
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- name: validation
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num_bytes: 7709028
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num_examples: 4936
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- name: test
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num_bytes: 7793116
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num_examples: 4938
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download_size: 88713712
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dataset_size: 139489179
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configs:
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- config_name: default
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data_files:
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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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dtype: int64
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splits:
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- name: train
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num_bytes: 123987035
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num_examples: 89971
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- name: validation
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num_bytes: 7709028
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num_examples: 4936
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- name: test
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num_bytes: 7793116
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num_examples: 4938
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download_size: 88713712
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dataset_size: 139489179
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configs:
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- config_name: default
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data_files:
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path: data/validation-*
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- split: test
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path: data/test-*
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license: odc-by
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---
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#
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```py
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>>> dataset = load_dataset("pszemraj/SHP-2-dpo-100k_sample")
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>>> dataset
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DatasetDict({
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train: Dataset({
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features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
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num_rows: 89971
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})
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validation: Dataset({
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features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
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num_rows: 4936
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})
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test: Dataset({
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features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
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num_rows: 4938
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})
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})
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```
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