Datasets:

toksuite
/

tokenizer_robustness_completion_general

question stringlengths 22 67	choices listlengths 4 4	answer int64 0 3	answer_label stringclasses 4 values	split stringclasses 1 value	subcategories stringclasses 2 values	lang stringclasses 5 values	second_lang stringclasses 3 values	id stringlengths 5 8	set_id stringlengths 3 5	variation_id stringclasses 7 values	question_general_category stringclasses 2 values	vanilla_cos_sim_to_canonical dict	trimmed_cos_sim_to_canonical dict	token_counts dict
USD is the currency abbreviation for	[ "Canada", "United States", "Mexico", "Australia" ]	1	B	test	Abbreviations	eng_Latn		1-0.1	1.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.5261784195899963, "Qwen/Qwen3-8B": 0.5641049742698669, "bigscience/bloom": 0.47502923011779785, "common-pile/comma-v0.1-1t": 0.47645479440689087, "facebook/xglm-564M": 0.4414445459842682, "google-bert/bert-base-multilingual-cased": 0.4363146424293518, "google/byt5-small": 0.8776535391807556, "google/gemma-2-2b": 0.5079511404037476, "gpt2": 0.5070206522941589, "meta-llama/Llama-3.2-1B": 0.5505856871604919, "microsoft/Phi-3-mini-4k-instruct": 0.4328415095806122, "mistralai/tekken": 0.5207787752151489, "tiktoken/gpt-4o": 0.5302295088768005, "tokenmonster/englishcode-32000-consistent-v1": 0.4196353852748871 }	{ "CohereLabs/aya-expanse-8b": 0.5261784195899963, "Qwen/Qwen3-8B": 0.5641049742698669, "bigscience/bloom": 0.47502923011779785, "common-pile/comma-v0.1-1t": 0.47645479440689087, "facebook/xglm-564M": 0.4414445459842682, "google-bert/bert-base-multilingual-cased": 0.4363146424293518, "google/byt5-small": 0.8757151365280151, "google/gemma-2-2b": 0.5079511404037476, "gpt2": 0.5070206522941589, "meta-llama/Llama-3.2-1B": 0.5505856871604919, "microsoft/Phi-3-mini-4k-instruct": 0.4328415095806122, "mistralai/tekken": 0.5207787752151489, "tiktoken/gpt-4o": 0.5302295088768005, "tokenmonster/englishcode-32000-consistent-v1": 0.4196353852748871 }	{ "CohereLabs/aya-expanse-8b": 6, "Qwen/Qwen3-8B": 6, "bigscience/bloom": 7, "common-pile/comma-v0.1-1t": 6, "facebook/xglm-564M": 8, "google-bert/bert-base-multilingual-cased": 8, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 7, "meta-llama/Llama-3.2-1B": 6, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 6, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 9 }
EUR is the currency abbreviation for	[ "Russia", "Germany", "Switzerland", "Norway" ]	1	B	test	Abbreviations	eng_Latn		2-0.1	2.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.5772669911384583, "Qwen/Qwen3-8B": 0.6335160136222839, "bigscience/bloom": 0.5699483752250671, "common-pile/comma-v0.1-1t": 0.6474299430847168, "facebook/xglm-564M": 0.4807031750679016, "google-bert/bert-base-multilingual-cased": 0.5088954567909241, "google/byt5-small": 0.8778805136680603, "google/gemma-2-2b": 0.6242339611053467, "gpt2": 0.4879039227962494, "meta-llama/Llama-3.2-1B": 0.6373932361602783, "microsoft/Phi-3-mini-4k-instruct": 0.48196327686309814, "mistralai/tekken": 0.5407348871231079, "tiktoken/gpt-4o": 0.608973503112793, "tokenmonster/englishcode-32000-consistent-v1": 0.40459829568862915 }	{ "CohereLabs/aya-expanse-8b": 0.5772669911384583, "Qwen/Qwen3-8B": 0.6335160136222839, "bigscience/bloom": 0.5699483752250671, "common-pile/comma-v0.1-1t": 0.5543885231018066, "facebook/xglm-564M": 0.4807031750679016, "google-bert/bert-base-multilingual-cased": 0.5088954567909241, "google/byt5-small": 0.8732092380523682, "google/gemma-2-2b": 0.6242339611053467, "gpt2": 0.4879039227962494, "meta-llama/Llama-3.2-1B": 0.6373932361602783, "microsoft/Phi-3-mini-4k-instruct": 0.48196327686309814, "mistralai/tekken": 0.5407348871231079, "tiktoken/gpt-4o": 0.608973503112793, "tokenmonster/englishcode-32000-consistent-v1": 0.40459829568862915 }	{ "CohereLabs/aya-expanse-8b": 6, "Qwen/Qwen3-8B": 6, "bigscience/bloom": 7, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 8, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 6, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 9 }
GBP is the currency abbreviation for	[ "United Kingdom", "Ireland", "Australia", "Canada" ]	0	A	test	Abbreviations	eng_Latn		3-0.1	3.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.4368763267993927, "Qwen/Qwen3-8B": 0.5750157833099365, "bigscience/bloom": 0.40681442618370056, "common-pile/comma-v0.1-1t": 0.35500064492225647, "facebook/xglm-564M": 0.3544677793979645, "google-bert/bert-base-multilingual-cased": 0.41218847036361694, "google/byt5-small": 0.8662573099136353, "google/gemma-2-2b": 0.5629308819770813, "gpt2": 0.4094003140926361, "meta-llama/Llama-3.2-1B": 0.5062923431396484, "microsoft/Phi-3-mini-4k-instruct": 0.4007450044155121, "mistralai/tekken": 0.4790442883968353, "tiktoken/gpt-4o": 0.5535956621170044, "tokenmonster/englishcode-32000-consistent-v1": 0.4153602421283722 }	{ "CohereLabs/aya-expanse-8b": 0.4368763267993927, "Qwen/Qwen3-8B": 0.5750157833099365, "bigscience/bloom": 0.40681442618370056, "common-pile/comma-v0.1-1t": 0.35500064492225647, "facebook/xglm-564M": 0.3544677793979645, "google-bert/bert-base-multilingual-cased": 0.41218847036361694, "google/byt5-small": 0.8662573099136353, "google/gemma-2-2b": 0.5629308819770813, "gpt2": 0.4094003140926361, "meta-llama/Llama-3.2-1B": 0.5062923431396484, "microsoft/Phi-3-mini-4k-instruct": 0.4007450044155121, "mistralai/tekken": 0.4790442883968353, "tiktoken/gpt-4o": 0.5535956621170044, "tokenmonster/englishcode-32000-consistent-v1": 0.4153602421283722 }	{ "CohereLabs/aya-expanse-8b": 7, "Qwen/Qwen3-8B": 6, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 6, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 10 }
JPY is the currency abbreviation for	[ "China", "South Korea", "Japan", "Thailand" ]	2	C	test	Abbreviations	eng_Latn		4-0.1	4.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.49311363697052, "Qwen/Qwen3-8B": 0.5398849844932556, "bigscience/bloom": 0.4912048876285553, "common-pile/comma-v0.1-1t": 0.48970288038253784, "facebook/xglm-564M": 0.3797960877418518, "google-bert/bert-base-multilingual-cased": 0.41807565093040466, "google/byt5-small": 0.8421058058738708, "google/gemma-2-2b": 0.5600678324699402, "gpt2": 0.44807738065719604, "meta-llama/Llama-3.2-1B": 0.5032190084457397, "microsoft/Phi-3-mini-4k-instruct": 0.43676578998565674, "mistralai/tekken": 0.5181655883789062, "tiktoken/gpt-4o": 0.5721617937088013, "tokenmonster/englishcode-32000-consistent-v1": 0.45347151160240173 }	{ "CohereLabs/aya-expanse-8b": 0.49311363697052, "Qwen/Qwen3-8B": 0.5398849844932556, "bigscience/bloom": 0.4912048876285553, "common-pile/comma-v0.1-1t": 0.48970288038253784, "facebook/xglm-564M": 0.3797960877418518, "google-bert/bert-base-multilingual-cased": 0.41807565093040466, "google/byt5-small": 0.8400167226791382, "google/gemma-2-2b": 0.5600678324699402, "gpt2": 0.44807738065719604, "meta-llama/Llama-3.2-1B": 0.5032190084457397, "microsoft/Phi-3-mini-4k-instruct": 0.43676578998565674, "mistralai/tekken": 0.5181655883789062, "tiktoken/gpt-4o": 0.5721617937088013, "tokenmonster/englishcode-32000-consistent-v1": 0.45347151160240173 }	{ "CohereLabs/aya-expanse-8b": 7, "Qwen/Qwen3-8B": 7, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 7, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 9 }
CHF is the currency abbreviation for	[ "Austria", "Switzerland", "Germany", "France" ]	1	B	test	Abbreviations	eng_Latn		5-0.1	5.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.5844903588294983, "Qwen/Qwen3-8B": 0.4856097102165222, "bigscience/bloom": 0.44207069277763367, "common-pile/comma-v0.1-1t": 0.4368855953216553, "facebook/xglm-564M": 0.4274923503398895, "google-bert/bert-base-multilingual-cased": 0.3995612859725952, "google/byt5-small": 0.8178829550743103, "google/gemma-2-2b": 0.5784579515457153, "gpt2": 0.3536719083786011, "meta-llama/Llama-3.2-1B": 0.45279571413993835, "microsoft/Phi-3-mini-4k-instruct": 0.391405314207077, "mistralai/tekken": 0.46276119351387024, "tiktoken/gpt-4o": 0.5871845483779907, "tokenmonster/englishcode-32000-consistent-v1": 0.3727618157863617 }	{ "CohereLabs/aya-expanse-8b": 0.5844903588294983, "Qwen/Qwen3-8B": 0.4856097102165222, "bigscience/bloom": 0.44207069277763367, "common-pile/comma-v0.1-1t": 0.4368855953216553, "facebook/xglm-564M": 0.4274923503398895, "google-bert/bert-base-multilingual-cased": 0.3995612859725952, "google/byt5-small": 0.8178829550743103, "google/gemma-2-2b": 0.5784579515457153, "gpt2": 0.3536719083786011, "meta-llama/Llama-3.2-1B": 0.45279571413993835, "microsoft/Phi-3-mini-4k-instruct": 0.391405314207077, "mistralai/tekken": 0.46276119351387024, "tiktoken/gpt-4o": 0.5871845483779907, "tokenmonster/englishcode-32000-consistent-v1": 0.3727618157863617 }	{ "CohereLabs/aya-expanse-8b": 6, "Qwen/Qwen3-8B": 7, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 7, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 10 }
CAD is the currency abbreviation for	[ "United States", "Australia", "Canada", "New Zealand" ]	2	C	test	Abbreviations	eng_Latn		6-0.1	6.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.5701348185539246, "Qwen/Qwen3-8B": 0.5713828206062317, "bigscience/bloom": 0.44097715616226196, "common-pile/comma-v0.1-1t": 0.4617057144641876, "facebook/xglm-564M": 0.45614519715309143, "google-bert/bert-base-multilingual-cased": 0.4455980360507965, "google/byt5-small": 0.871882438659668, "google/gemma-2-2b": 0.5222269892692566, "gpt2": 0.40849921107292175, "meta-llama/Llama-3.2-1B": 0.5588080883026123, "microsoft/Phi-3-mini-4k-instruct": 0.4105576276779175, "mistralai/tekken": 0.5715956687927246, "tiktoken/gpt-4o": 0.5618322491645813, "tokenmonster/englishcode-32000-consistent-v1": 0.42174196243286133 }	{ "CohereLabs/aya-expanse-8b": 0.5701348185539246, "Qwen/Qwen3-8B": 0.5713828206062317, "bigscience/bloom": 0.44097715616226196, "common-pile/comma-v0.1-1t": 0.4617057144641876, "facebook/xglm-564M": 0.45614519715309143, "google-bert/bert-base-multilingual-cased": 0.4455980360507965, "google/byt5-small": 0.8658521771430969, "google/gemma-2-2b": 0.5222269892692566, "gpt2": 0.40849921107292175, "meta-llama/Llama-3.2-1B": 0.5588080883026123, "microsoft/Phi-3-mini-4k-instruct": 0.4105576276779175, "mistralai/tekken": 0.5715956687927246, "tiktoken/gpt-4o": 0.5618322491645813, "tokenmonster/englishcode-32000-consistent-v1": 0.42174196243286133 }	{ "CohereLabs/aya-expanse-8b": 6, "Qwen/Qwen3-8B": 6, "bigscience/bloom": 7, "common-pile/comma-v0.1-1t": 6, "facebook/xglm-564M": 8, "google-bert/bert-base-multilingual-cased": 8, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 6, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 6, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 9 }
AUD is the currency abbreviation for	[ "Australia", "New Zealand", "Canada", "United Kingdom" ]	0	A	test	Abbreviations	eng_Latn		7-0.1	7.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.5810739398002625, "Qwen/Qwen3-8B": 0.582885205745697, "bigscience/bloom": 0.4575527310371399, "common-pile/comma-v0.1-1t": 0.4417293667793274, "facebook/xglm-564M": 0.4275231957435608, "google-bert/bert-base-multilingual-cased": 0.4168412685394287, "google/byt5-small": 0.8632242679595947, "google/gemma-2-2b": 0.5470977425575256, "gpt2": 0.5173682570457458, "meta-llama/Llama-3.2-1B": 0.5788257718086243, "microsoft/Phi-3-mini-4k-instruct": 0.4059268832206726, "mistralai/tekken": 0.5213374495506287, "tiktoken/gpt-4o": 0.5865859389305115, "tokenmonster/englishcode-32000-consistent-v1": 0.41428694128990173 }	{ "CohereLabs/aya-expanse-8b": 0.5810739398002625, "Qwen/Qwen3-8B": 0.582885205745697, "bigscience/bloom": 0.4575527310371399, "common-pile/comma-v0.1-1t": 0.4417293667793274, "facebook/xglm-564M": 0.4275231957435608, "google-bert/bert-base-multilingual-cased": 0.4168412685394287, "google/byt5-small": 0.8592476844787598, "google/gemma-2-2b": 0.5470977425575256, "gpt2": 0.5173682570457458, "meta-llama/Llama-3.2-1B": 0.5788257718086243, "microsoft/Phi-3-mini-4k-instruct": 0.4059268832206726, "mistralai/tekken": 0.5213374495506287, "tiktoken/gpt-4o": 0.5865859389305115, "tokenmonster/englishcode-32000-consistent-v1": 0.41428694128990173 }	{ "CohereLabs/aya-expanse-8b": 6, "Qwen/Qwen3-8B": 6, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 7, "meta-llama/Llama-3.2-1B": 6, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 6, "tokenmonster/englishcode-32000-consistent-v1": 9 }
CNY is the currency abbreviation for	[ "Japan", "China", "Taiwan", "Hong Kong" ]	1	B	test	Abbreviations	eng_Latn		8-0.1	8.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.535286009311676, "Qwen/Qwen3-8B": 0.5374408960342407, "bigscience/bloom": 0.5008592009544373, "common-pile/comma-v0.1-1t": 0.4702851176261902, "facebook/xglm-564M": 0.40790247917175293, "google-bert/bert-base-multilingual-cased": 0.40917831659317017, "google/byt5-small": 0.8662566542625427, "google/gemma-2-2b": 0.4937095046043396, "gpt2": 0.4303835332393646, "meta-llama/Llama-3.2-1B": 0.4829484522342682, "microsoft/Phi-3-mini-4k-instruct": 0.4029068946838379, "mistralai/tekken": 0.4894508421421051, "tiktoken/gpt-4o": 0.5204511284828186, "tokenmonster/englishcode-32000-consistent-v1": 0.4049859046936035 }	{ "CohereLabs/aya-expanse-8b": 0.535286009311676, "Qwen/Qwen3-8B": 0.5374408960342407, "bigscience/bloom": 0.5008592009544373, "common-pile/comma-v0.1-1t": 0.4702851176261902, "facebook/xglm-564M": 0.40790247917175293, "google-bert/bert-base-multilingual-cased": 0.40917831659317017, "google/byt5-small": 0.8599821329116821, "google/gemma-2-2b": 0.4937095046043396, "gpt2": 0.4303835332393646, "meta-llama/Llama-3.2-1B": 0.4829484522342682, "microsoft/Phi-3-mini-4k-instruct": 0.4029068946838379, "mistralai/tekken": 0.4894508421421051, "tiktoken/gpt-4o": 0.5204511284828186, "tokenmonster/englishcode-32000-consistent-v1": 0.4049859046936035 }	{ "CohereLabs/aya-expanse-8b": 7, "Qwen/Qwen3-8B": 7, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 7, "gpt2": 8, "meta-llama/Llama-3.2-1B": 7, "microsoft/Phi-3-mini-4k-instruct": 9, "mistralai/tekken": 7, "tiktoken/gpt-4o": 7, "tokenmonster/englishcode-32000-consistent-v1": 9 }
INR is the currency abbreviation for	[ "India", "Pakistan", "Bangladesh", "Sri Lanka" ]	0	A	test	Abbreviations	eng_Latn		9-0.1	9.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.44720032811164856, "Qwen/Qwen3-8B": 0.45087283849716187, "bigscience/bloom": 0.4050305187702179, "common-pile/comma-v0.1-1t": 0.41573482751846313, "facebook/xglm-564M": 0.40992534160614014, "google-bert/bert-base-multilingual-cased": 0.3682607412338257, "google/byt5-small": 0.8737328052520752, "google/gemma-2-2b": 0.48485830426216125, "gpt2": 0.38375499844551086, "meta-llama/Llama-3.2-1B": 0.4240480065345764, "microsoft/Phi-3-mini-4k-instruct": 0.35092559456825256, "mistralai/tekken": 0.3545064628124237, "tiktoken/gpt-4o": 0.48451313376426697, "tokenmonster/englishcode-32000-consistent-v1": 0.5651025772094727 }	{ "CohereLabs/aya-expanse-8b": 0.44720032811164856, "Qwen/Qwen3-8B": 0.45087283849716187, "bigscience/bloom": 0.4050305187702179, "common-pile/comma-v0.1-1t": 0.41573482751846313, "facebook/xglm-564M": 0.40992534160614014, "google-bert/bert-base-multilingual-cased": 0.3682607412338257, "google/byt5-small": 0.8699988126754761, "google/gemma-2-2b": 0.48485830426216125, "gpt2": 0.38375499844551086, "meta-llama/Llama-3.2-1B": 0.4240480065345764, "microsoft/Phi-3-mini-4k-instruct": 0.35092559456825256, "mistralai/tekken": 0.3545064628124237, "tiktoken/gpt-4o": 0.48451313376426697, "tokenmonster/englishcode-32000-consistent-v1": 0.5651025772094727 }	{ "CohereLabs/aya-expanse-8b": 7, "Qwen/Qwen3-8B": 7, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 7, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 7, "tokenmonster/englishcode-32000-consistent-v1": 10 }
RUB is the currency abbreviation for	[ "Ukraine", "Russia", "Belarus", "Kazakhstan" ]	1	B	test	Abbreviations	eng_Latn		10-0.1	10.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.4727608561515808, "Qwen/Qwen3-8B": 0.5090503096580505, "bigscience/bloom": 0.4857461750507355, "common-pile/comma-v0.1-1t": 0.49572861194610596, "facebook/xglm-564M": 0.4278603494167328, "google-bert/bert-base-multilingual-cased": 0.5641077160835266, "google/byt5-small": 0.8685646653175354, "google/gemma-2-2b": 0.5258281230926514, "gpt2": 0.38308387994766235, "meta-llama/Llama-3.2-1B": 0.44778957962989807, "microsoft/Phi-3-mini-4k-instruct": 0.3952000141143799, "mistralai/tekken": 0.5155733227729797, "tiktoken/gpt-4o": 0.49037185311317444, "tokenmonster/englishcode-32000-consistent-v1": 0.35650503635406494 }	{ "CohereLabs/aya-expanse-8b": 0.4727608561515808, "Qwen/Qwen3-8B": 0.5090503096580505, "bigscience/bloom": 0.4857461750507355, "common-pile/comma-v0.1-1t": 0.49572861194610596, "facebook/xglm-564M": 0.4278603494167328, "google-bert/bert-base-multilingual-cased": 0.5641077160835266, "google/byt5-small": 0.8598319292068481, "google/gemma-2-2b": 0.5258281230926514, "gpt2": 0.38308387994766235, "meta-llama/Llama-3.2-1B": 0.44778957962989807, "microsoft/Phi-3-mini-4k-instruct": 0.3952000141143799, "mistralai/tekken": 0.5155733227729797, "tiktoken/gpt-4o": 0.49037185311317444, "tokenmonster/englishcode-32000-consistent-v1": 0.35650503635406494 }	{ "CohereLabs/aya-expanse-8b": 7, "Qwen/Qwen3-8B": 7, "bigscience/bloom": 8, "common-pile/comma-v0.1-1t": 7, "facebook/xglm-564M": 9, "google-bert/bert-base-multilingual-cased": 9, "google/byt5-small": 36, "google/gemma-2-2b": 6, "gpt2": 8, "meta-llama/Llama-3.2-1B": 7, "microsoft/Phi-3-mini-4k-instruct": 8, "mistralai/tekken": 7, "tiktoken/gpt-4o": 7, "tokenmonster/englishcode-32000-consistent-v1": 9 }
این خانه IRR ۲٫۸۵۰٫۰۰۰٫۰۰۰٫۰۰۰ است. قیمت این خانه	[ "۳٫۰۰۰٫۰۰۰٫۰۰۰ تومان است", "۲٫۰۵۰٫۰۰۰٫۰۰۰ تومان است", "۲٫۸۵۰٫۰۰۰٫۰۰۰ تومان است", "۳٫۸۵۰٫۰۰۰٫۰۰۰ تومان است" ]	2	C	test	Abbreviations, Code/language/script switching	pes_Arab	eng_Latn	302-1.22	302.0	1.22	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.9763597846031189, "Qwen/Qwen3-8B": 0.9841705560684204, "bigscience/bloom": 0.9790642857551575, "common-pile/comma-v0.1-1t": 0.9814052581787109, "facebook/xglm-564M": 0.9636136293411255, "google-bert/bert-base-multilingual-cased": 0.9338499307632446, "google/byt5-small": 0.9623981714248657, "google/gemma-2-2b": 0.9621968865394592, "gpt2": 0.974206805229187, "meta-llama/Llama-3.2-1B": 0.9499086141586304, "microsoft/Phi-3-mini-4k-instruct": 0.9768738746643066, "mistralai/tekken": 0.9758428335189819, "tiktoken/gpt-4o": 0.9689154028892517, "tokenmonster/englishcode-32000-consistent-v1": 0.9773842692375183 }	{ "CohereLabs/aya-expanse-8b": 0.9784888029098511, "Qwen/Qwen3-8B": 0.9872021079063416, "bigscience/bloom": 0.979755163192749, "common-pile/comma-v0.1-1t": 0.9847293496131897, "facebook/xglm-564M": 0.94953852891922, "google-bert/bert-base-multilingual-cased": 0.9094239473342896, "google/byt5-small": 0.9527915716171265, "google/gemma-2-2b": 0.9608609080314636, "gpt2": 0.9800617694854736, "meta-llama/Llama-3.2-1B": 0.9389987587928772, "microsoft/Phi-3-mini-4k-instruct": 0.981357216835022, "mistralai/tekken": 0.9775265455245972, "tiktoken/gpt-4o": 0.9693648815155029, "tokenmonster/englishcode-32000-consistent-v1": 0.9572483897209167 }	{ "CohereLabs/aya-expanse-8b": 28, "Qwen/Qwen3-8B": 49, "bigscience/bloom": 35, "common-pile/comma-v0.1-1t": 65, "facebook/xglm-564M": 19, "google-bert/bert-base-multilingual-cased": 19, "google/byt5-small": 88, "google/gemma-2-2b": 23, "gpt2": 68, "meta-llama/Llama-3.2-1B": 21, "microsoft/Phi-3-mini-4k-instruct": 65, "mistralai/tekken": 28, "tiktoken/gpt-4o": 25, "tokenmonster/englishcode-32000-consistent-v1": 89 }
The price of this house is 1,028,415 CAD. The cost of this house is	[ "1,028,415 dollars", "1.028.415 dollars", "1,028,411 dollars", "1,028.415 dollars" ]	0	A	test	Abbreviations	eng_Latn		302-0.10	302.0	0.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.2803439795970917, "Qwen/Qwen3-8B": 0.20114795863628387, "bigscience/bloom": 0.17340314388275146, "common-pile/comma-v0.1-1t": 0.16173489391803741, "facebook/xglm-564M": 0.2441370189189911, "google-bert/bert-base-multilingual-cased": 0.13259758055210114, "google/byt5-small": 0.15219199657440186, "google/gemma-2-2b": 0.2714628279209137, "gpt2": 0.09347641468048096, "meta-llama/Llama-3.2-1B": 0.18419726192951202, "microsoft/Phi-3-mini-4k-instruct": 0.09451237320899963, "mistralai/tekken": 0.1831648349761963, "tiktoken/gpt-4o": 0.15185858309268951, "tokenmonster/englishcode-32000-consistent-v1": 0.09955857694149017 }	{ "CohereLabs/aya-expanse-8b": 0.2803439795970917, "Qwen/Qwen3-8B": 0.20114795863628387, "bigscience/bloom": 0.17340314388275146, "common-pile/comma-v0.1-1t": 0.16173489391803741, "facebook/xglm-564M": 0.2441370189189911, "google-bert/bert-base-multilingual-cased": 0.13259758055210114, "google/byt5-small": 0.15219199657440186, "google/gemma-2-2b": 0.2714628279209137, "gpt2": 0.09347641468048096, "meta-llama/Llama-3.2-1B": 0.18419726192951202, "microsoft/Phi-3-mini-4k-instruct": 0.09451237320899963, "mistralai/tekken": 0.1831648349761963, "tiktoken/gpt-4o": 0.15185858309268951, "tokenmonster/englishcode-32000-consistent-v1": 0.09955857694149017 }	{ "CohereLabs/aya-expanse-8b": 24, "Qwen/Qwen3-8B": 24, "bigscience/bloom": 19, "common-pile/comma-v0.1-1t": 22, "facebook/xglm-564M": 18, "google-bert/bert-base-multilingual-cased": 19, "google/byt5-small": 67, "google/gemma-2-2b": 24, "gpt2": 19, "meta-llama/Llama-3.2-1B": 20, "microsoft/Phi-3-mini-4k-instruct": 25, "mistralai/tekken": 24, "tiktoken/gpt-4o": 20, "tokenmonster/englishcode-32000-consistent-v1": 17 }
Bu evin fiyatı 5.850.000 TRY'dir. Bu evin maliyeti	[ "5.850.000 Liradır", "5,850,000 Liradır", "5.850.000 Liradır", "5.550.000 Liradır" ]	0	A	test	Abbreviations	tur_Latn	tur_Latn	302-2.17	302.0	2.17	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.45695358514785767, "Qwen/Qwen3-8B": 0.27414119243621826, "bigscience/bloom": 0.3279254734516144, "common-pile/comma-v0.1-1t": 0.14796599745750427, "facebook/xglm-564M": 0.23902453482151031, "google-bert/bert-base-multilingual-cased": 0.2399080991744995, "google/byt5-small": 0.18184159696102142, "google/gemma-2-2b": 0.3311977982521057, "gpt2": 0.15649212896823883, "meta-llama/Llama-3.2-1B": 0.33060404658317566, "microsoft/Phi-3-mini-4k-instruct": 0.15084002912044525, "mistralai/tekken": 0.3331012725830078, "tiktoken/gpt-4o": 0.3011195659637451, "tokenmonster/englishcode-32000-consistent-v1": 0.24778752028942108 }	{ "CohereLabs/aya-expanse-8b": 0.45695358514785767, "Qwen/Qwen3-8B": 0.27414119243621826, "bigscience/bloom": 0.3279254734516144, "common-pile/comma-v0.1-1t": 0.14796599745750427, "facebook/xglm-564M": 0.23902453482151031, "google-bert/bert-base-multilingual-cased": 0.2399080991744995, "google/byt5-small": 0.18184159696102142, "google/gemma-2-2b": 0.3311977982521057, "gpt2": 0.15649212896823883, "meta-llama/Llama-3.2-1B": 0.33060404658317566, "microsoft/Phi-3-mini-4k-instruct": 0.15084002912044525, "mistralai/tekken": 0.3331012725830078, "tiktoken/gpt-4o": 0.3011195659637451, "tokenmonster/englishcode-32000-consistent-v1": 0.24778752028942108 }	{ "CohereLabs/aya-expanse-8b": 24, "Qwen/Qwen3-8B": 25, "bigscience/bloom": 22, "common-pile/comma-v0.1-1t": 24, "facebook/xglm-564M": 17, "google-bert/bert-base-multilingual-cased": 20, "google/byt5-small": 51, "google/gemma-2-2b": 21, "gpt2": 24, "meta-llama/Llama-3.2-1B": 20, "microsoft/Phi-3-mini-4k-instruct": 29, "mistralai/tekken": 27, "tiktoken/gpt-4o": 21, "tokenmonster/englishcode-32000-consistent-v1": 26 }
Il prezzo di questa casa è 300,000 EUR. Il costo di questa casa è	[ "300.000 euro", "300 euro", "30.0000 euro", "300,000 euro" ]	3	D	test	Abbreviations	ita_Latn		302-3.45	302.0	3.45	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.43280524015426636, "Qwen/Qwen3-8B": 0.2221081405878067, "bigscience/bloom": 0.23404008150100708, "common-pile/comma-v0.1-1t": 0.10632295161485672, "facebook/xglm-564M": 0.2495977282524109, "google-bert/bert-base-multilingual-cased": 0.18991057574748993, "google/byt5-small": 0.15752963721752167, "google/gemma-2-2b": 0.2648364305496216, "gpt2": 0.12541040778160095, "meta-llama/Llama-3.2-1B": 0.21301382780075073, "microsoft/Phi-3-mini-4k-instruct": 0.1426779329776764, "mistralai/tekken": 0.36689043045043945, "tiktoken/gpt-4o": 0.22812676429748535, "tokenmonster/englishcode-32000-consistent-v1": 0.12937147915363312 }	{ "CohereLabs/aya-expanse-8b": 0.43280524015426636, "Qwen/Qwen3-8B": 0.2221081405878067, "bigscience/bloom": 0.23404008150100708, "common-pile/comma-v0.1-1t": 0.10632295161485672, "facebook/xglm-564M": 0.2495977282524109, "google-bert/bert-base-multilingual-cased": 0.18991057574748993, "google/byt5-small": 0.15752963721752167, "google/gemma-2-2b": 0.2648364305496216, "gpt2": 0.12541040778160095, "meta-llama/Llama-3.2-1B": 0.21301382780075073, "microsoft/Phi-3-mini-4k-instruct": 0.1426779329776764, "mistralai/tekken": 0.36689043045043945, "tiktoken/gpt-4o": 0.22812676429748535, "tokenmonster/englishcode-32000-consistent-v1": 0.12937147915363312 }	{ "CohereLabs/aya-expanse-8b": 22, "Qwen/Qwen3-8B": 23, "bigscience/bloom": 20, "common-pile/comma-v0.1-1t": 26, "facebook/xglm-564M": 16, "google-bert/bert-base-multilingual-cased": 18, "google/byt5-small": 67, "google/gemma-2-2b": 22, "gpt2": 25, "meta-llama/Llama-3.2-1B": 19, "microsoft/Phi-3-mini-4k-instruct": 25, "mistralai/tekken": 23, "tiktoken/gpt-4o": 18, "tokenmonster/englishcode-32000-consistent-v1": 24 }
Bu evin fiyatı 5.850.000 TL'dir. Bu evin maliyeti	[ "5,850,000 Liradır", "5.850.000 Liradır", "5.850.000 Liradır", "5.550.000 Liradır" ]	2	C	test	Abbreviations	tur_Latn	tur_Latn	302-2.17	302.0	2.17	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.45590919256210327, "Qwen/Qwen3-8B": 0.2729109823703766, "bigscience/bloom": 0.3131803870201111, "common-pile/comma-v0.1-1t": 0.1531423181295395, "facebook/xglm-564M": 0.2483195960521698, "google-bert/bert-base-multilingual-cased": 0.2351997196674347, "google/byt5-small": 0.1772598773241043, "google/gemma-2-2b": 0.3423346281051636, "gpt2": 0.15890273451805115, "meta-llama/Llama-3.2-1B": 0.33825239539146423, "microsoft/Phi-3-mini-4k-instruct": 0.15450043976306915, "mistralai/tekken": 0.35426801443099976, "tiktoken/gpt-4o": 0.3078821897506714, "tokenmonster/englishcode-32000-consistent-v1": 0.2536444664001465 }	{ "CohereLabs/aya-expanse-8b": 0.45590919256210327, "Qwen/Qwen3-8B": 0.2729109823703766, "bigscience/bloom": 0.3131803870201111, "common-pile/comma-v0.1-1t": 0.1531423181295395, "facebook/xglm-564M": 0.2483195960521698, "google-bert/bert-base-multilingual-cased": 0.2351997196674347, "google/byt5-small": 0.1772598773241043, "google/gemma-2-2b": 0.3423346281051636, "gpt2": 0.15890273451805115, "meta-llama/Llama-3.2-1B": 0.33825239539146423, "microsoft/Phi-3-mini-4k-instruct": 0.15450043976306915, "mistralai/tekken": 0.35426801443099976, "tiktoken/gpt-4o": 0.3078821897506714, "tokenmonster/englishcode-32000-consistent-v1": 0.2536444664001465 }	{ "CohereLabs/aya-expanse-8b": 24, "Qwen/Qwen3-8B": 25, "bigscience/bloom": 21, "common-pile/comma-v0.1-1t": 23, "facebook/xglm-564M": 16, "google-bert/bert-base-multilingual-cased": 20, "google/byt5-small": 50, "google/gemma-2-2b": 21, "gpt2": 23, "meta-llama/Llama-3.2-1B": 20, "microsoft/Phi-3-mini-4k-instruct": 29, "mistralai/tekken": 26, "tiktoken/gpt-4o": 21, "tokenmonster/englishcode-32000-consistent-v1": 25 }
这栋房子的价格是150,0000RMB。这栋房子的价格是	[ "150,0000元", "15,0000元", "15,0000,0000元", "1500,0000元" ]	0	A	test	Abbreviations	zho_Hans		302-4.10	302.0	4.1	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.40976014733314514, "Qwen/Qwen3-8B": 0.19597315788269043, "bigscience/bloom": 0.19877889752388, "common-pile/comma-v0.1-1t": 0.1713777333498001, "facebook/xglm-564M": 0.16662585735321045, "google-bert/bert-base-multilingual-cased": 0.2241579294204712, "google/byt5-small": 0.17650040984153748, "google/gemma-2-2b": 0.2350350171327591, "gpt2": 0.10573001205921173, "meta-llama/Llama-3.2-1B": 0.21031984686851501, "microsoft/Phi-3-mini-4k-instruct": 0.16321136057376862, "mistralai/tekken": 0.3094155192375183, "tiktoken/gpt-4o": 0.2775406837463379, "tokenmonster/englishcode-32000-consistent-v1": 0.5213181376457214 }	{ "CohereLabs/aya-expanse-8b": 0.40976014733314514, "Qwen/Qwen3-8B": 0.19597315788269043, "bigscience/bloom": 0.19877889752388, "common-pile/comma-v0.1-1t": 0.1713777333498001, "facebook/xglm-564M": 0.16662585735321045, "google-bert/bert-base-multilingual-cased": 0.2241579294204712, "google/byt5-small": 0.17650040984153748, "google/gemma-2-2b": 0.2350350171327591, "gpt2": 0.10573001205921173, "meta-llama/Llama-3.2-1B": 0.21031984686851501, "microsoft/Phi-3-mini-4k-instruct": 0.1457270085811615, "mistralai/tekken": 0.3094155192375183, "tiktoken/gpt-4o": 0.2775406837463379, "tokenmonster/englishcode-32000-consistent-v1": 0.5213181376457214 }	{ "CohereLabs/aya-expanse-8b": 23, "Qwen/Qwen3-8B": 21, "bigscience/bloom": 18, "common-pile/comma-v0.1-1t": 29, "facebook/xglm-564M": 16, "google-bert/bert-base-multilingual-cased": 23, "google/byt5-small": 62, "google/gemma-2-2b": 22, "gpt2": 32, "meta-llama/Llama-3.2-1B": 20, "microsoft/Phi-3-mini-4k-instruct": 36, "mistralai/tekken": 29, "tiktoken/gpt-4o": 18, "tokenmonster/englishcode-32000-consistent-v1": 58 }
这栋房子的价格是150,0000CNY。这栋房子的价格是	[ "15,0000元", "150,0000", "15,0000,0000元", "1500,0000元" ]	1	B	test	Abbreviations	zho_Hans		302-4.11	302.0	4.11	General Knowledge	{ "CohereLabs/aya-expanse-8b": 0.40650224685668945, "Qwen/Qwen3-8B": 0.20629984140396118, "bigscience/bloom": 0.17953534424304962, "common-pile/comma-v0.1-1t": 0.18052144348621368, "facebook/xglm-564M": 0.16886106133460999, "google-bert/bert-base-multilingual-cased": 0.2129160314798355, "google/byt5-small": 0.18051300942897797, "google/gemma-2-2b": 0.25400424003601074, "gpt2": 0.11747980117797852, "meta-llama/Llama-3.2-1B": 0.20431308448314667, "microsoft/Phi-3-mini-4k-instruct": 0.16321010887622833, "mistralai/tekken": 0.3088798224925995, "tiktoken/gpt-4o": 0.2906246483325958, "tokenmonster/englishcode-32000-consistent-v1": 0.5197353363037109 }	{ "CohereLabs/aya-expanse-8b": 0.40650224685668945, "Qwen/Qwen3-8B": 0.20629984140396118, "bigscience/bloom": 0.17953534424304962, "common-pile/comma-v0.1-1t": 0.18052144348621368, "facebook/xglm-564M": 0.16886106133460999, "google-bert/bert-base-multilingual-cased": 0.2129160314798355, "google/byt5-small": 0.18051300942897797, "google/gemma-2-2b": 0.25400424003601074, "gpt2": 0.11747980117797852, "meta-llama/Llama-3.2-1B": 0.20431308448314667, "microsoft/Phi-3-mini-4k-instruct": 0.14589738845825195, "mistralai/tekken": 0.3088798224925995, "tiktoken/gpt-4o": 0.2906246483325958, "tokenmonster/englishcode-32000-consistent-v1": 0.5197353363037109 }	{ "CohereLabs/aya-expanse-8b": 23, "Qwen/Qwen3-8B": 21, "bigscience/bloom": 18, "common-pile/comma-v0.1-1t": 29, "facebook/xglm-564M": 16, "google-bert/bert-base-multilingual-cased": 22, "google/byt5-small": 62, "google/gemma-2-2b": 23, "gpt2": 32, "meta-llama/Llama-3.2-1B": 20, "microsoft/Phi-3-mini-4k-instruct": 36, "mistralai/tekken": 29, "tiktoken/gpt-4o": 18, "tokenmonster/englishcode-32000-consistent-v1": 58 }
这栋房子的价格是150万元。这栋房子的价格是	[ "15,0000元", "150,0000元", "15,0000,0000元", "1500,0000元" ]	1	B	test	Abbreviations	zho_Hans		302-4.12	302.0	4.12		{ "CohereLabs/aya-expanse-8b": 0.2536839246749878, "Qwen/Qwen3-8B": 0.1555914580821991, "bigscience/bloom": 0.16798801720142365, "common-pile/comma-v0.1-1t": 0.170766681432724, "facebook/xglm-564M": 0.1306072175502777, "google-bert/bert-base-multilingual-cased": 0.1997177004814148, "google/byt5-small": 0.1912839561700821, "google/gemma-2-2b": 0.21243664622306824, "gpt2": 0.10513120889663696, "meta-llama/Llama-3.2-1B": 0.175040140748024, "microsoft/Phi-3-mini-4k-instruct": 0.14822696149349213, "mistralai/tekken": 0.1634351909160614, "tiktoken/gpt-4o": 0.20490296185016632, "tokenmonster/englishcode-32000-consistent-v1": 0.5313525199890137 }	{ "CohereLabs/aya-expanse-8b": 0.2536839246749878, "Qwen/Qwen3-8B": 0.1555914580821991, "bigscience/bloom": 0.16798801720142365, "common-pile/comma-v0.1-1t": 0.170766681432724, "facebook/xglm-564M": 0.1306072175502777, "google-bert/bert-base-multilingual-cased": 0.1997177004814148, "google/byt5-small": 0.1912839561700821, "google/gemma-2-2b": 0.21243664622306824, "gpt2": 0.10513120889663696, "meta-llama/Llama-3.2-1B": 0.175040140748024, "microsoft/Phi-3-mini-4k-instruct": 0.1273152232170105, "mistralai/tekken": 0.1634351909160614, "tiktoken/gpt-4o": 0.20490296185016632, "tokenmonster/englishcode-32000-consistent-v1": 0.5313525199890137 }	{ "CohereLabs/aya-expanse-8b": 17, "Qwen/Qwen3-8B": 15, "bigscience/bloom": 15, "common-pile/comma-v0.1-1t": 27, "facebook/xglm-564M": 13, "google-bert/bert-base-multilingual-cased": 20, "google/byt5-small": 60, "google/gemma-2-2b": 17, "gpt2": 32, "meta-llama/Llama-3.2-1B": 16, "microsoft/Phi-3-mini-4k-instruct": 31, "mistralai/tekken": 23, "tiktoken/gpt-4o": 14, "tokenmonster/englishcode-32000-consistent-v1": 59 }

Dataset Card for Tokenization Robustness

TokSuite Bonus Benchmarks (General Collection)

This is a bonus TokSuite dataset containing a small set of high-signal examples that highlight surface-form variations known to affect tokenization robustness. It includes canonical questions alongside perturbations such as abbreviations, character deletion, currency symbols, diverse date formats, and unusual formatting. These examples focus on tokenization challenges that commonly arise in real-world text, providing a compact complement to the main TokSuite benchmarks.

Additional Information

Dataset Curators

The dataset was curated by the TokSuite research team at R3.

Licensing Information

MIT License

Citation Information

If you use this dataset in your research, please cite the TokSuite paper:

@inproceedings{toksuite2026, title={TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior}, author={Altıntaş, Gül Sena and Ehghaghi, Malikeh and Lester, Brian and Liu, Fengyuan and Zhao, Wanru and Ciccone, Marco and Raffel, Colin}, booktitle={Preprint}, year={2026},, arxiv={https://arxiv.org/abs/2512.20757}, url={TBD} }

Paper: TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior