Datasets:
Uploading tokenizer_robustness_completion_stem_character_deletion subset
Browse files
README.md
CHANGED
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@@ -8,7 +8,7 @@ tags:
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- multilingual
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- tokenization
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dataset_info:
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-
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features:
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- name: question
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dtype: string
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@@ -132,11 +132,139 @@ dataset_info:
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num_examples: 44
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download_size: 32406
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dataset_size: 23517
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configs:
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- config_name: tokenizer_robustness_completion_stem_canonical
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data_files:
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- split: test
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path: tokenizer_robustness_completion_stem_canonical/test-*
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---
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# Dataset Card for Tokenization Robustness
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| 8 |
- multilingual
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| 9 |
- tokenization
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| 10 |
dataset_info:
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- config_name: tokenizer_robustness_completion_stem_canonical
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features:
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- name: question
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dtype: string
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num_examples: 44
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download_size: 32406
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dataset_size: 23517
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- config_name: tokenizer_robustness_completion_stem_character_deletion
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features:
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- name: question
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dtype: string
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- name: choices
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list: string
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- name: answer
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dtype: int64
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- name: answer_label
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dtype: string
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- name: split
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dtype: string
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- name: subcategories
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dtype: string
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- name: lang
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dtype: string
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- name: second_lang
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dtype: string
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- name: notes
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dtype: string
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- name: id
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dtype: string
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- name: set_id
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dtype: string
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- name: variation_id
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dtype: string
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- name: question_general_category
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dtype: string
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- name: vanilla_cos_sim_to_canonical
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struct:
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- name: CohereLabs/aya-expanse-8b
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dtype: float64
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- name: Qwen/Qwen3-8B
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dtype: float64
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- name: bigscience/bloom
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dtype: float64
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- name: common-pile/comma-v0.1-1t
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dtype: float64
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- name: facebook/xglm-564M
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dtype: float64
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- name: google-bert/bert-base-multilingual-cased
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dtype: float64
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- name: google/byt5-small
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dtype: float64
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- name: google/gemma-2-2b
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dtype: float64
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- name: gpt2
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dtype: float64
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- name: meta-llama/Llama-3.2-1B
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dtype: float64
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- name: microsoft/Phi-3-mini-4k-instruct
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dtype: float64
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- name: mistralai/tekken
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dtype: float64
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- name: tiktoken/gpt-4o
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dtype: float64
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- name: tokenmonster/englishcode-32000-consistent-v1
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dtype: float64
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- name: trimmed_cos_sim_to_canonical
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struct:
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- name: CohereLabs/aya-expanse-8b
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dtype: float64
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- name: Qwen/Qwen3-8B
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dtype: float64
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- name: bigscience/bloom
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dtype: float64
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- name: common-pile/comma-v0.1-1t
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dtype: float64
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- name: facebook/xglm-564M
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dtype: float64
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- name: google-bert/bert-base-multilingual-cased
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dtype: float64
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| 207 |
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- name: google/byt5-small
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dtype: float64
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- name: google/gemma-2-2b
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dtype: float64
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- name: gpt2
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dtype: float64
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- name: meta-llama/Llama-3.2-1B
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dtype: float64
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- name: microsoft/Phi-3-mini-4k-instruct
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dtype: float64
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- name: mistralai/tekken
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dtype: float64
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- name: tiktoken/gpt-4o
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dtype: float64
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- name: tokenmonster/englishcode-32000-consistent-v1
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dtype: float64
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- name: token_counts
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struct:
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- name: CohereLabs/aya-expanse-8b
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dtype: int64
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- name: Qwen/Qwen3-8B
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dtype: int64
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- name: bigscience/bloom
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dtype: int64
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- name: common-pile/comma-v0.1-1t
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dtype: int64
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| 233 |
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- name: facebook/xglm-564M
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dtype: int64
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- name: google-bert/bert-base-multilingual-cased
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dtype: int64
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| 237 |
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- name: google/byt5-small
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dtype: int64
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- name: google/gemma-2-2b
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dtype: int64
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- name: gpt2
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dtype: int64
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- name: meta-llama/Llama-3.2-1B
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dtype: int64
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- name: microsoft/Phi-3-mini-4k-instruct
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dtype: int64
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- name: mistralai/tekken
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dtype: int64
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- name: tiktoken/gpt-4o
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dtype: int64
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- name: tokenmonster/englishcode-32000-consistent-v1
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dtype: int64
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+
splits:
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- name: test
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+
num_bytes: 22723
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+
num_examples: 41
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+
download_size: 40680
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| 258 |
+
dataset_size: 22723
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configs:
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- config_name: tokenizer_robustness_completion_stem_canonical
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| 261 |
data_files:
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| 262 |
- split: test
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| 263 |
path: tokenizer_robustness_completion_stem_canonical/test-*
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| 264 |
+
- config_name: tokenizer_robustness_completion_stem_character_deletion
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| 265 |
+
data_files:
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| 266 |
+
- split: test
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| 267 |
+
path: tokenizer_robustness_completion_stem_character_deletion/test-*
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| 268 |
---
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| 269 |
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# Dataset Card for Tokenization Robustness
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tokenizer_robustness_completion_stem_character_deletion/test-00000-of-00001.parquet
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:a56fcce1df07a0c5caecce04bf3c73e044a75559f37aea62f934b38342612717
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| 3 |
+
size 40680
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