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README.md
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| 1 |
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---
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dataset_info:
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features:
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| 4 |
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- name: sequence_id
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| 5 |
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dtype: int64
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| 6 |
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- name: text
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dtype: string
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| 8 |
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- name: sequence_duplicates
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| 9 |
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dtype: int64
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| 10 |
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- name: max_frequency
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| 11 |
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dtype: int64
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| 12 |
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- name: avg_frequency
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| 13 |
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dtype: float64
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| 14 |
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- name: min_frequency
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dtype: int64
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| 16 |
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- name: median_frequency
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| 17 |
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dtype: float64
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| 18 |
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- name: p25_frequency
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dtype: int64
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| 20 |
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- name: p75_frequency
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| 21 |
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dtype: int64
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| 22 |
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- name: frequencies
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| 23 |
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sequence: int64
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| 24 |
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- name: is_incrementing
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| 25 |
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dtype: bool
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| 26 |
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- name: tokens
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| 27 |
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sequence: int64
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| 28 |
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- name: repeating_offset
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| 29 |
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dtype: int32
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| 30 |
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- name: num_repeating
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| 31 |
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dtype: int32
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| 32 |
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- name: smallest_repeating_chunk
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| 33 |
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sequence: int64
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| 34 |
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- name: memorization_score
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| 35 |
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dtype: float64
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| 36 |
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- name: templating_frequency_0.9
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| 37 |
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dtype: int64
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| 38 |
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- name: templating_frequency_0.8
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| 39 |
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dtype: int64
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| 40 |
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- name: prompt_perplexity
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| 41 |
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dtype: float32
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| 42 |
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- name: generation_perplexity
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| 43 |
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dtype: float32
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| 44 |
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- name: sequence_perplexity
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| 45 |
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dtype: float32
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| 46 |
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splits:
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- name: pile.duped.70m
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num_bytes: 7003348430
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num_examples: 5000000
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num_examples: 5000000
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- name: pile.duped.6.9b
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num_bytes: 7003348430
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num_examples: 5000000
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- name: pile.deduped.70m
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num_bytes: 7013409756
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num_examples: 5000000
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num_examples: 5000000
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num_bytes: 7013409756
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num_examples: 5000000
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- name: pile.deduped.1b
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num_bytes: 7013409756
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num_examples: 5000000
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- name: pile.deduped.1.4b
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num_bytes: 7013409756
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num_examples: 5000000
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num_bytes: 7013409756
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num_examples: 5000000
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| 89 |
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- name: pile.deduped.6.9b
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| 90 |
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num_bytes: 7013409756
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num_examples: 5000000
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| 92 |
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- name: pile.deduped.12b
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| 93 |
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num_bytes: 7013409756
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| 94 |
+
num_examples: 5000000
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| 95 |
+
download_size: 48107269588
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| 96 |
+
dataset_size: 112134065488
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| 97 |
+
---
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| 98 |
+
# Dataset Card for "pile-semantic-memorization-filter-results"
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| 99 |
+
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| 100 |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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