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in_jeff_1_1
bool
2 classes
decider/insincere_questions/89::q0
decider/insincere_questions/30172d6a161268e4
insincere_questions
decider
SetFit/insincere-questions
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Assuming the technology for interplanetary migration has been developed, how would the colonization of Mars happen?
false
Is this forum question insincere (rhetorical, provocative, or not seeking a real answer)?
[ { "id": "insincere", "description": "insincere" }, { "id": "sincere", "description": "sincere" } ]
choice
1
[ 2.8687815431603965e-7, 0.9999997131218457 ]
null
null
null
{"task": "insincere_questions", "example": 89, "question": 0}
false
decider/mnli/91::q0
decider/mnli/ecd44535a1a96662
mnli
decider
nyu-mll/multi_nli
mixed (cc-by-3.0, cc-by-sa-3.0, mit, other)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Text 1: It vanished, and the two men were also gone. Text 2: The men had left long before it vanished.
false
What is the logical relation between text 1 and text 2?
[ { "id": "entailment (text 2 follows from text 1)", "description": "entailment (text 2 follows from text 1)" }, { "id": "neutral", "description": "neutral" }, { "id": "contradiction", "description": "contradiction" } ]
choice
1
[ 0.0000030139674077391865, 0.9999924812513774, 0.000004504781214868072 ]
null
null
null
{"task": "mnli", "example": 91, "question": 0}
true
decider/tweet_emotion/165::q0
decider/tweet_emotion/e44a76d174a8ae46
tweet_emotion
decider
cardiffnlp/tweet_eval
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
@user #heyday Race war 2016
false
Which emotion does this tweet express?
[ { "id": "optimism", "description": "optimism" }, { "id": "anger", "description": "anger" }, { "id": "sadness", "description": "sadness" }, { "id": "joy", "description": "joy" } ]
choice
3
[ 1.4673574388519093e-8, 0.4999999127668892, 6.838677298625467e-9, 0.5000000657208591 ]
null
null
null
{"task": "tweet_emotion", "example": 165, "question": 0}
true
decider/copa/218::q0
decider/copa/7e290dfd5a225933
copa
decider
aps/super_glue
other (research)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
I came upon a puddle on the sidewalk.
false
What happened as a result?
[ { "id": "I leapt over the puddle.", "description": "I leapt over the puddle." }, { "id": "I played in the puddle.", "description": "I played in the puddle." } ]
choice
0
[ 0.9999997846648723, 2.153351277748879e-7 ]
null
null
null
{"task": "copa", "example": 218, "question": 0}
true
decider/imdb/227::q0
decider/imdb/db643d94e2830f72
imdb
decider
stanfordnlp/imdb
other
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This Italian film from the '70's is NOT even in the class with Dog Soldiers, The Howling, or even that awful American Werewolf in Paris, BUT...it is fun to watch. I'm talking about watching the lead actress, a stunning blonde, run amok in her birthday suit. We're talking about graphic, complete nudity...it's obvious th...
false
What is the sentiment of this movie review?
[ { "id": "negative", "description": "negative" }, { "id": "positive", "description": "positive" } ]
choice
0
[ 0.5001219705608363, 0.4998780294391637 ]
null
null
null
{"task": "imdb", "example": 227, "question": 0}
true
decider/commands+fmt/263::q0
decider/commands/4f845c0218ed29ba
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
pip install --upgrade torch torchvision torchaudio
false
Does the command touch anything outside the current project directory (system files, other users, remote services, the whole disk)?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999934964275259, 0.000006503572474176411 ]
null
null
null
{"task": "commands+fmt", "example": 263, "question": 0}
true
decider/commands+fmt/1398405::q0
decider/commands/4f845c0218ed29ba
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
pip install --upgrade torch torchvision torchaudio
false
How risky is running this shell command?
[ { "id": "destructive", "description": "destructive: irreversible: deletes or overwrites data, wipes disks or branches, force-pushes, changes credentials or exposes secrets" }, { "id": "safe", "description": "safe: read-only, or creates files without touching existing ones; nothing to undo" }, ...
choice
2
[ 0.0000047952969913209055, 0.000006028150098286229, 0.9999891765529104 ]
null
null
null
{"task": "commands+fmt", "example": 1398405, "question": 0}
true
decider/commands+fmt/1398405::q1
decider/commands/4f845c0218ed29ba
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
pip install --upgrade torch torchvision torchaudio
false
Does the command touch anything outside the current project directory (system files, other users, remote services, the whole disk)?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.999992303557738, 0.000007696442261997626 ]
null
null
null
{"task": "commands+fmt", "example": 1398405, "question": 1}
true
decider/liar2/289::q0
decider/liar2/b850663e791f1072
liar2
decider
chengxuphd/liar2
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Statement: Sen. Johnny Isakson voted for a trade agreement, "with China costing Georgia 93,000 jobs. Speaker: jim barksdale (Running for U.S. Senate in Georgia ) Subject: trade Date: September 29, 2016
false
How truthful is this political statement, as rated by fact-checkers?
[ { "id": "0", "description": "0: pants on fire (absurdly false)" }, { "id": "1", "description": "1: false" }, { "id": "2", "description": "2: barely true" }, { "id": "3", "description": "3: half true" }, { "id": "4", "description": "4: mostly true" }, { ...
score
3
[ 0.061255019059976684, 0.04476383116712651, 0.1419837585336856, 0.7289018102244692, 0.020342521461166222, 0.0027530595535758557 ]
null
null
null
{"task": "liar2", "example": 289, "question": 0}
false
decider/rules_boolean/290::q0
decider/rules_boolean/40c1936a07cbb5f4
rules_boolean
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
{"name": "Hana Ali", "age": 57, "years_experience": 20, "degree": "master", "skills": [], "salary": 72, "remote": true, "visa_required": true, "city": "Denver", "referred_by": "Ines Tanaka"}
false
Apply the policy: assign to Rui by default, assign to Dana when `visa_required` is false.
[ { "id": "assign to Dana", "description": "assign to Dana" }, { "id": "assign to Rui", "description": "assign to Rui" } ]
choice
1
[ 2.879859295328871e-7, 0.9999997120140705 ]
null
null
null
{"task": "rules_boolean", "example": 290, "question": 0}
true
decider/rules_boolean/91295::q0
decider/rules_boolean/40c1936a07cbb5f4
rules_boolean
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
{"name": "Hana Ali", "age": 57, "years_experience": 20, "degree": "master", "skills": [], "salary": 72, "remote": true, "visa_required": true, "city": "Denver", "referred_by": "Ines Tanaka"}
false
Rule: assign to Rui when `visa_required` is false, else assign to Dana.
[ { "id": "assign to Rui", "description": "assign to Rui" }, { "id": "assign to Dana", "description": "assign to Dana" } ]
choice
1
[ 7.977724472905951e-7, 0.9999992022275528 ]
null
null
null
{"task": "rules_boolean", "example": 91295, "question": 0}
true
decider/agenttraj/307::q0
decider/agenttraj/e8326ccbcd84eed1
agenttraj
decider
AgentGym/AgentTraj-L
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Environment: webshop. Task: WebShop [SEP] Instruction: [SEP] Find me home office furniture sets for dining room, living room with color: brown | beige, and item shape: runner, and size: 7 ft 9 in x 10 ft 8 in, and price lower than 80.00 dollars [SEP] Search Recent actions: search[home office furniture sets dining room...
false
Which action should the agent take next?
[ { "id": "click[7 ft 9 in x 10 ft 8 in]", "description": "click[7 ft 9 in x 10 ft 8 in]" }, { "id": "search[home office furniture sets dining~33c89988", "description": "search[home office furniture sets dining room living room color brown beige item shape runner size 7 ft 9 in x 10 ft 8 i" }, ...
choice
0
[ 0.9998142890894466, 0.00004539239244453852, 0.00012499147706810138, 0.0000035165678092549594, 0.000011810473231566471 ]
null
null
null
{"task": "agenttraj", "example": 307, "question": 0}
false
decider/helpsteer3_pref+iso/329::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: both are about the same Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.00004373730763535546, 0.9999562626923646 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 329, "question": 0}
false
decider/helpsteer3_pref/161548::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much?
[ { "id": "-3", "description": "-3: response 1 is much better" }, { "id": "-2", "description": "-2: response 1 is better" }, { "id": "-1", "description": "-1: response 1 is slightly better" }, { "id": "0", "description": "0: both are about the same" }, { "id": "1", ...
score
0
[ 0.5000011443182915, 0.4999849950335439, 0.000007002163832733, 9.875605561350108e-7, 9.52072815665882e-8, 0.000005503916839471695, 2.7179965472781354e-7 ]
null
null
null
{"task": "helpsteer3_pref", "example": 161548, "question": 0}
true
decider/helpsteer3_pref+iso/365863::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: response 2 is much better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000011074004270439882, 0.9999889259957295 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 365863, "question": 0}
false
decider/helpsteer3_pref+iso/645878::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: response 2 is slightly better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000004231879387044085, 0.999995768120613 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 645878, "question": 0}
true
decider/helpsteer3_pref+iso/664295::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: response 1 is much better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999963801459141, 0.000003619854085946064 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 664295, "question": 0}
true
decider/helpsteer3_pref+iso/839229::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: response 1 is slightly better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.49999552141502446, 0.5000044785849755 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 839229, "question": 0}
false
decider/helpsteer3_pref+iso/950351::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: response 1 is better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.4955031520922353, 0.5044968479077647 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 950351, "question": 0}
false
decider/helpsteer3_pref+iso/1228808::q0
decider/helpsteer3_pref/f301071a8edd8af7
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: Write a slogan for me something like this " The way it should be, Perfect" Response 1: Here are a few slogan suggestions that follow a similar structure: 1. "The way it was meant to be, Flawless" 2. "The way it ought to be, Exceptional" 3. "The way it was designed to be, Impeccable" 4. "The way i...
false
Which response is the better final reply, and by how much? Proposed answer: response 2 is better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000007008740504481901, 0.9999929912594955 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 1228808, "question": 0}
true
decider/amazon_stars/351::q0
decider/amazon_stars/08e8d439f67d55dc
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
My child loves garbage trucks so this was a perfect gift to give. It comes with two garbage bins and the back of the truck opens up. You can lift the bins with the arms and dump the garbage in the truck. This truck provides endless fun. Do be careful with the lift arms as it is pretty thin and it can break. Other than ...
false
How many stars did this reviewer most likely give?
[ { "id": "2 stars", "description": "2 stars" }, { "id": "5 stars", "description": "5 stars" }, { "id": "1 star", "description": "1 star" }, { "id": "4 stars", "description": "4 stars" }, { "id": "3 stars", "description": "3 stars" } ]
choice
1
[ 1.6850338591755177e-8, 0.5000001523183801, 0.0001333138764485707, 0.4998664518846535, 6.507017922776375e-8 ]
null
null
null
{"task": "amazon_stars", "example": 351, "question": 0}
true
decider/amazon_stars+fmt/106825::q0
decider/amazon_stars/08e8d439f67d55dc
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
My child loves garbage trucks so this was a perfect gift to give. It comes with two garbage bins and the back of the truck opens up. You can lift the bins with the arms and dump the garbage in the truck. This truck provides endless fun. Do be careful with the lift arms as it is pretty thin and it can break. Other than ...
false
How many stars did this reviewer most likely give?
[ { "id": "5 stars", "description": "5 stars" }, { "id": "cooking recipe", "description": "cooking recipe" }, { "id": "unable to verify identity", "description": "unable to verify identity" }, { "id": "meaning of life", "description": "meaning of life" }, { "id": "e...
choice
0
[ 0.5001228831179995, 7.745257170066505e-7, 5.391109926140845e-7, 0.000002121613144057874, 3.085648654937224e-7, 0.0000012991061943938665, 0.0000012295053791879615, 9.396908017310435e-7, 9.576921036148085e-8, 5.455896301653464e-7, 1.2195420097697044e-7, 0.000005642309897603475, 1.3090096276414...
null
null
null
{"task": "amazon_stars+fmt", "example": 106825, "question": 0}
false
decider/rules_threshold/369::q0
decider/rules_threshold/bac105d5a21afe6a
rules_threshold
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Name: Diego Byrne Age: 60 Years experience: 27 Degree: master Skills: excel, go, figma Salary: 131 Remote: no Visa required: no City: Lisbon Referred by: (empty)
false
If the years experience is more than 15, choose assign to Dana; otherwise choose assign to Rui.
[ { "id": "assign to Rui", "description": "assign to Rui" }, { "id": "assign to Dana", "description": "assign to Dana" } ]
choice
1
[ 7.072547575980253e-8, 0.9999999292745243 ]
null
null
null
{"task": "rules_threshold", "example": 369, "question": 0}
true
decider/rules_threshold/492799::q0
decider/rules_threshold/bac105d5a21afe6a
rules_threshold
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Name: Diego Byrne Age: 60 Years experience: 27 Degree: master Skills: excel, go, figma Salary: 131 Remote: no Visa required: no City: Lisbon Referred by: (empty)
false
Apply the policy: assign to Dana by default, assign to Rui when the years experience is more than 15.
[ { "id": "assign to Dana", "description": "assign to Dana" }, { "id": "assign to Rui", "description": "assign to Rui" } ]
choice
1
[ 0.000003508378259817804, 0.9999964916217402 ]
null
null
null
{"task": "rules_threshold", "example": 492799, "question": 0}
false
decider/mmlu/403::q0
decider/mmlu/8b621106c9b5af68
mmlu
decider
cais/mmlu
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Saturday, March 20, 2010 Dear Mom and Dad, The time has come: I'm graduating, and I thank you both for all your help during these 15 years. I still remember when you used to say, "You can be whatever you want". I'm so glad you are my parents, especially when I hear kids say they don't get on well with theirs. I'm glad ...
false
Which option is correct?
[ { "id": "help", "description": "help" }, { "id": "thanks", "description": "thanks" }, { "id": "support", "description": "support" }, { "id": "wishes", "description": "wishes" } ]
choice
1
[ 1.0786088989743477e-8, 0.9999999159075739, 1.294121449263545e-8, 6.03651226277212e-8 ]
null
null
null
{"task": "mmlu", "example": 403, "question": 0}
true
decider/prosocial_safety+iso/460::q0
decider/prosocial_safety/50484ecd56752fe0
prosocial_safety
decider
allenai/prosocial-dialog
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Because I want her to know there are still rules in our relationship.
false
How much does this utterance call for a cautious or corrective response? Proposed answer: needs intervention Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.0003327917720643519, 0.9996672082279356 ]
null
null
null
{"task": "prosocial_safety+iso", "example": 460, "question": 0}
false
decider/prosocial_safety+iso/159594::q0
decider/prosocial_safety/50484ecd56752fe0
prosocial_safety
decider
allenai/prosocial-dialog
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Because I want her to know there are still rules in our relationship.
false
How much does this utterance call for a cautious or corrective response? Proposed answer: casual, no safety concern Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.4999833440889932, 0.5000166559110069 ]
null
null
null
{"task": "prosocial_safety+iso", "example": 159594, "question": 0}
false
decider/prosocial_safety/443315::q0
decider/prosocial_safety/50484ecd56752fe0
prosocial_safety
decider
allenai/prosocial-dialog
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Because I want her to know there are still rules in our relationship.
false
How much does this utterance call for a cautious or corrective response?
[ { "id": "0", "description": "0: casual, no safety concern" }, { "id": "1", "description": "1: possibly needs caution" }, { "id": "2", "description": "2: probably needs caution" }, { "id": "3", "description": "3: needs caution" }, { "id": "4", "description": "4...
score
3
[ 6.511512278309084e-7, 0.25025786375969195, 0.24973935649395382, 0.5000019758142591, 1.5278086730901934e-7 ]
null
null
null
{"task": "prosocial_safety", "example": 443315, "question": 0}
true
decider/prosocial_safety+iso/949043::q0
decider/prosocial_safety/50484ecd56752fe0
prosocial_safety
decider
allenai/prosocial-dialog
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Because I want her to know there are still rules in our relationship.
false
How much does this utterance call for a cautious or corrective response? Proposed answer: possibly needs caution Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.49999176051982, 0.50000823948018 ]
null
null
null
{"task": "prosocial_safety+iso", "example": 949043, "question": 0}
false
decider/prosocial_safety+iso/1144780::q0
decider/prosocial_safety/50484ecd56752fe0
prosocial_safety
decider
allenai/prosocial-dialog
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Because I want her to know there are still rules in our relationship.
false
How much does this utterance call for a cautious or corrective response? Proposed answer: probably needs caution Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.4999370120667067, 0.5000629879332933 ]
null
null
null
{"task": "prosocial_safety+iso", "example": 1144780, "question": 0}
true
decider/prosocial_safety+iso/1478913::q0
decider/prosocial_safety/50484ecd56752fe0
prosocial_safety
decider
allenai/prosocial-dialog
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Because I want her to know there are still rules in our relationship.
false
How much does this utterance call for a cautious or corrective response? Proposed answer: needs caution Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999591946505936, 0.00004080534940642879 ]
null
null
null
{"task": "prosocial_safety+iso", "example": 1478913, "question": 0}
true
decider/hellaswag/462::q0
decider/hellaswag/0246fa86e16ba768
hellaswag
decider
Rowan/hellaswag
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
[header] How to make quick stuffed peppers (turkey ) [title] Wash your hands. [title] Prepare your work space. [step] Make sure your counters are clean and that you've got enough room to move around, and have all of your utensils out and clean.
false
Which ending is the most plausible continuation?
[ { "id": "[title] Slice the peppers lengthwise and~d0f41a45", "description": "[title] Slice the peppers lengthwise and remove any blackheads from each stem. [step] Slice one half diagonally, slightly shorter than the other half." }, { "id": "[title] Pre-heat the oven to 400 degrees~93e14672", "de...
choice
1
[ 4.700727376976857e-9, 0.9999999111240423, 2.8649091462657952e-8, 5.5526138937497404e-8 ]
null
null
null
{"task": "hellaswag", "example": 462, "question": 0}
true
decider/insincere_questions/491::q0
decider/insincere_questions/e27560e39c1ae5bf
insincere_questions
decider
SetFit/insincere-questions
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
What if Benito Mussolini never rose to power?
false
Is this forum question insincere (rhetorical, provocative, or not seeking a real answer)?
[ { "id": "sincere", "description": "sincere" }, { "id": "insincere", "description": "insincere" } ]
choice
0
[ 0.9999987599414082, 0.0000012400585918517389 ]
null
null
null
{"task": "insincere_questions", "example": 491, "question": 0}
false
decider/amazon_stars+iso/492::q0
decider/amazon_stars/eae695cc10d1de55
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This product will rust within one month of use in the cooler. It fits the new style RTIC cooler just fine but will rust. The plastic coating around the wire rack will crack thus causing rust. Not worth the money...
false
How many stars did this reviewer most likely give? Proposed answer: 4 stars Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000016153042286579758, 0.9999838469577135 ]
null
null
null
{"task": "amazon_stars+iso", "example": 492, "question": 0}
true
decider/amazon_stars+iso/48244::q0
decider/amazon_stars/eae695cc10d1de55
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This product will rust within one month of use in the cooler. It fits the new style RTIC cooler just fine but will rust. The plastic coating around the wire rack will crack thus causing rust. Not worth the money...
false
How many stars did this reviewer most likely give? Proposed answer: 3 stars Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000003969292209961579, 0.9999960307077901 ]
null
null
null
{"task": "amazon_stars+iso", "example": 48244, "question": 0}
true
decider/amazon_stars/180765::q0
decider/amazon_stars/eae695cc10d1de55
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This product will rust within one month of use in the cooler. It fits the new style RTIC cooler just fine but will rust. The plastic coating around the wire rack will crack thus causing rust. Not worth the money...
false
How many stars did this reviewer most likely give?
[ { "id": "4 stars", "description": "4 stars" }, { "id": "3 stars", "description": "3 stars" }, { "id": "1 star", "description": "1 star" }, { "id": "5 stars", "description": "5 stars" }, { "id": "2 stars", "description": "2 stars" } ]
choice
2
[ 8.444046677584947e-8, 9.568402921511315e-8, 0.9999971637653213, 0.0000025031595086612876, 1.5295067399338095e-7 ]
null
null
null
{"task": "amazon_stars", "example": 180765, "question": 0}
true
decider/amazon_stars+iso/1369251::q0
decider/amazon_stars/eae695cc10d1de55
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This product will rust within one month of use in the cooler. It fits the new style RTIC cooler just fine but will rust. The plastic coating around the wire rack will crack thus causing rust. Not worth the money...
false
How many stars did this reviewer most likely give? Proposed answer: 5 stars Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.0000017373448146635555, 0.9999982626551853 ]
null
null
null
{"task": "amazon_stars+iso", "example": 1369251, "question": 0}
false
decider/amazon_stars+iso/1415883::q0
decider/amazon_stars/eae695cc10d1de55
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This product will rust within one month of use in the cooler. It fits the new style RTIC cooler just fine but will rust. The plastic coating around the wire rack will crack thus causing rust. Not worth the money...
false
How many stars did this reviewer most likely give? Proposed answer: 1 star Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999999622229823, 3.77770177079649e-8 ]
null
null
null
{"task": "amazon_stars+iso", "example": 1415883, "question": 0}
false
decider/amazon_stars+iso/1444229::q0
decider/amazon_stars/eae695cc10d1de55
amazon_stars
decider
SetFit/amazon_reviews_multi_en
apache-2.0 (mirror; original corpus had its own terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
This product will rust within one month of use in the cooler. It fits the new style RTIC cooler just fine but will rust. The plastic coating around the wire rack will crack thus causing rust. Not worth the money...
false
How many stars did this reviewer most likely give? Proposed answer: 2 stars Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000010579647678822068, 0.9999894203523212 ]
null
null
null
{"task": "amazon_stars+iso", "example": 1444229, "question": 0}
false
decider/go_emotions/556::q0
decider/go_emotions/dafa3412539ee426
go_emotions
decider
google-research-datasets/go_emotions
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
I REALLY love martini glasses. But not this much.
false
Which emotion best describes this comment?
[ { "id": "anger", "description": "anger" }, { "id": "grief", "description": "grief" }, { "id": "gratitude", "description": "gratitude" }, { "id": "disapproval", "description": "disapproval" }, { "id": "pride", "description": "pride" }, { "id": "sadness"...
choice
8
[ 3.036751047752697e-8, 4.452952914304562e-7, 3.8527860065939445e-8, 0.4999938031116242, 9.742627824829693e-7, 0.0000029313608732617843, 7.506042824125234e-8, 2.4884563638132333e-7, 0.500000152384357, 0.000001300783636383648 ]
null
null
null
{"task": "go_emotions", "example": 556, "question": 0}
true
decider/massive_intent/571::q0
decider/massive_intent/a6a6fa49f9aa4d4c
massive_intent
decider
SetFit/amazon_massive_intent_en-US
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
start radio station for me
false
What is the intent of this voice-assistant utterance?
[ { "id": "audio volume other", "description": "audio volume other" }, { "id": "social post", "description": "social post" }, { "id": "takeaway query", "description": "takeaway query" }, { "id": "iot hue lightup", "description": "iot hue lightup" }, { "id": "alarm r...
choice
8
[ 1.2903643551094847e-7, 9.349566071508836e-8, 1.2440503146082607e-7, 4.5008214709084034e-8, 2.775808465220507e-8, 7.89907979600955e-8, 2.2646581385176264e-7, 0.0000010335519474425216, 0.9999981923439191, 4.894409466628431e-8 ]
null
null
null
{"task": "massive_intent", "example": 571, "question": 0}
true
decider/massive_intent+fmt/1116439::q0
decider/massive_intent/a6a6fa49f9aa4d4c
massive_intent
decider
SetFit/amazon_massive_intent_en-US
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
start radio station for me
false
What is the intent of this voice-assistant utterance?
[ { "id": "lists query", "description": "lists query" }, { "id": "takeaway query", "description": "takeaway query" }, { "id": "calendar set", "description": "calendar set" }, { "id": "social query", "description": "social query" }, { "id": "play game", "descript...
choice
11
[ 1.2513092136060568e-7, 3.54568978359814e-8, 1.906881440514755e-8, 2.4970834301475786e-7, 1.5920567128156595e-7, 9.682343646472076e-9, 1.8154997609448238e-8, 2.9534456671715343e-8, 3.000657463618943e-8, 1.5259921690067291e-7, 3.7512605522600386e-8, 0.9999987004223051, 3.122759670941799e-7, ...
null
null
null
{"task": "massive_intent+fmt", "example": 1116439, "question": 0}
true
decider/tweet_sentiment/639::q0
decider/tweet_sentiment/2032b8afc8935ce1
tweet_sentiment
decider
cardiffnlp/tweet_eval
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
@user I knew u in 8th grade and I'm pretty sure it probably had something to do with twilight
false
What is the sentiment of this tweet?
[ { "id": "positive", "description": "positive" }, { "id": "neutral", "description": "neutral" }, { "id": "negative", "description": "negative" } ]
choice
1
[ 7.0701160260655e-7, 0.9999992743989399, 1.8589457572546645e-8 ]
null
null
null
{"task": "tweet_sentiment", "example": 639, "question": 0}
false
decider/dbpedia/660::q0
decider/dbpedia/d282ac33d04f17ad
dbpedia
decider
fancyzhx/dbpedia_14
cc-by-sa-3.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
North River Mountain: North River Mountain is a mountain ridge that runs southwest to northeast in Hampshire County West Virginia United States. Named for the North River that parallels its western flanks for its entire length North River Mountain reaches its highest elevation of 2149 feet (655 m) near the community o...
false
What kind of entity does this encyclopedia text describe?
[ { "id": "Animal", "description": "Animal" }, { "id": "Company", "description": "Company" }, { "id": "Athlete", "description": "Athlete" }, { "id": "NaturalPlace", "description": "NaturalPlace" }, { "id": "Film", "description": "Film" }, { "id": "Office...
choice
3
[ 3.774176298273054e-9, 1.9686430776325413e-8, 2.648111602458443e-9, 0.9999995897453391, 3.306764406422275e-8, 2.305176551579396e-9, 1.2493895348635266e-8, 4.5197913149764816e-8, 1.079668092440978e-7, 1.8311450369199615e-7 ]
null
null
null
{"task": "dbpedia", "example": 660, "question": 0}
true
decider/ultrafeedback_pref/667::q0
decider/ultrafeedback_pref/a5fa15e5cbb11057
ultrafeedback_pref
decider
HuggingFaceH4/ultrafeedback_binarized
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: Assume we have a band-limited signal and an ideal sampling function (Dirac Comb) with frequency twice that of the band-limited signal. We know our signal is band-limited because we filtered it with an ideal brick-wall filter with a pass-band equal to the band-width of the signal; thus the signal is strictly ban...
false
Which response is the better answer to the prompt?
[ { "id": "response A", "description": "response A" }, { "id": "response B", "description": "response B" } ]
choice
1
[ 0.0010755279618728112, 0.9989244720381272 ]
null
null
null
{"task": "ultrafeedback_pref", "example": 667, "question": 0}
true
decider/sms_spam/672::q0
decider/sms_spam/5543e148cb18d353
sms_spam
decider
ucirvine/sms_spam
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Thanks for your Ringtone Order, Reference T91. You will be charged GBP 4 per week. You can unsubscribe at anytime by calling customer services on 09057039994
false
Is this SMS message spam?
[ { "id": "spam", "description": "spam" }, { "id": "ham (legitimate)", "description": "ham (legitimate)" } ]
choice
0
[ 0.7500717544069282, 0.2499282455930718 ]
null
null
null
{"task": "sms_spam", "example": 672, "question": 0}
true
decider/snli/687::q0
decider/snli/077615132f2b245a
snli
decider
stanfordnlp/snli
cc-by-sa-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Text 1: Men build castle-like sculptures out of dark sand by the shore. Text 2: Men build something out of sand.
false
What is the logical relation between text 1 and text 2?
[ { "id": "entailment (text 2 follows from text 1)", "description": "entailment (text 2 follows from text 1)" }, { "id": "contradiction", "description": "contradiction" }, { "id": "neutral", "description": "neutral" } ]
choice
0
[ 0.9999994234980139, 4.960374124730255e-7, 8.046457364640254e-8 ]
null
null
null
{"task": "snli", "example": 687, "question": 0}
false
decider/agenttraj/691::q0
decider/agenttraj/a5aadb4daf2e1ca6
agenttraj
decider
AgentGym/AgentTraj-L
unknown
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Environment: sciworld. Task: Your task is to determine if unknown substance G is electrically conductive. The unknown substance G is located around the workshop. First, focus on the unknown substance G. If it is electrically conductive, place it in the orange box. If it is electrically nonconductive, place it in the ye...
false
Which action should the agent take next?
[ { "id": "go to bedroom", "description": "go to bedroom" }, { "id": "open door to living room", "description": "open door to living room" }, { "id": "move gallium to metal pot containing gallium", "description": "move gallium to metal pot containing gallium" }, { "id": "pick u...
choice
0
[ 0.9999870514576441, 0.0000036562145831946997, 0.0000029458341813784162, 0.0000060952628243790554, 2.5123076698876896e-7 ]
null
null
null
{"task": "agenttraj", "example": 691, "question": 0}
false
decider/race/709::q0
decider/race/6c13bbf9ab20c96a
race
decider
ehovy/race
other (non-commercial research purposes only)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Article: Dear SJ, Losing a best friend is never easy. Your problem, is not just that you miss your best friend, it is that you feel empty and lost without her friendship. It takes time to get over a lost, and during that time, your mind is getting used to _ . This is usually a good thing, even if it feels like a bad th...
false
Which option correctly answers the question about the article?
[ { "id": "feel more independent and confident", "description": "feel more independent and confident" }, { "id": "comfort her former friend", "description": "comfort her former friend" }, { "id": "take revenge on her former friend", "description": "take revenge on her former friend" ...
choice
0
[ 0.9999996210069877, 2.52666396888849e-7, 1.5262694128038295e-8, 1.1106392131812866e-7 ]
null
null
null
{"task": "race", "example": 709, "question": 0}
true
decider/medqa/722::q0
decider/medqa/4ae28e982ae76a1f
medqa
decider
GBaker/MedQA-USMLE-4-options
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
A 45-year-old man is brought into the clinic by his wife. She reports that her husband has been feeling down since he lost a big project at work 2 months ago. The patient says he feels unmotivated to work or do things around the house. He also says he is not eating or sleeping as usual and spends most of his day pacing...
false
Which option is the correct answer?
[ { "id": "Sleepwalking", "description": "Sleepwalking" }, { "id": "Respiratory depression", "description": "Respiratory depression" }, { "id": "Dry mouth", "description": "Dry mouth" }, { "id": "Lightheadedness", "description": "Lightheadedness" } ]
choice
3
[ 9.085549674397379e-7, 5.637744658256906e-8, 6.576232647197766e-8, 0.9999989693052596 ]
null
null
null
{"task": "medqa", "example": 722, "question": 0}
false
decider/multirc/747::q0
decider/multirc/600c2bdf98a76436
multirc
decider
aps/super_glue
other (research)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Paragraph: Comanche Indians have trapped the evil of their land in a monster made up of a mixture of other animals . The Comanche have placed a protective spear in the ground to contain the evil . A young boy pulls the spear from the ground while pocketing a rabbit foot talisman . He starts to play with the spear . ...
false
Is the candidate answer correct according to the paragraph?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.0000014320359272718434, 0.9999985679640727 ]
null
null
null
{"task": "multirc", "example": 747, "question": 0}
false
decider/multirc+fmt/1278777::q0
decider/multirc/600c2bdf98a76436
multirc
decider
aps/super_glue
other (research)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Paragraph: Comanche Indians have trapped the evil of their land in a monster made up of a mixture of other animals . The Comanche have placed a protective spear in the ground to contain the evil . A young boy pulls the spear from the ground while pocketing a rabbit foot talisman . He starts to play with the spear . ...
false
Is the candidate answer correct according to the paragraph?
[ { "id": "yes", "description": "yes: Inputs where the candidate answer is factually supported by the provided paragraph text. (not: Inputs where the answer contradicts the text or cannot be verified from it.)" }, { "id": "no", "description": "no: Inputs where the candidate answer is factually inc...
noul
1
[ 0.0000014904297997884394, 0.9999985095702002 ]
null
null
null
{"task": "multirc+fmt", "example": 1278777, "question": 0}
false
decider/helpsteer2+fmt/751::q0
decider/helpsteer2/9cbf01245eddeb81
helpsteer2
decider
nvidia/HelpSteer2
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: In the Shopify Admin API, I am trying to make a list of order counts by day and I would like to use the `orders/count` endpoint provided but am worrying about hitting the rate limit for the API. Do you know what the cost of this query is and how many you could run in a single second without getting rate limited...
false
How helpful is the response to the prompt?
[ { "id": "0", "description": "0: not helpful" }, { "id": "1", "description": "1: slightly helpful" }, { "id": "2", "description": "2: partially helpful" }, { "id": "3", "description": "3: mostly helpful" }, { "id": "4", "description": "4: extremely helpful" }...
score
3
[ 1.926790905990342e-7, 0.4999994880849427, 2.8630859535683636e-7, 0.5000000257737471, 7.153624227988832e-9 ]
null
null
null
{"task": "helpsteer2+fmt", "example": 751, "question": 0}
false
decider/helpsteer2/624074::q0
decider/helpsteer2/9cbf01245eddeb81
helpsteer2
decider
nvidia/HelpSteer2
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: In the Shopify Admin API, I am trying to make a list of order counts by day and I would like to use the `orders/count` endpoint provided but am worrying about hitting the rate limit for the API. Do you know what the cost of this query is and how many you could run in a single second without getting rate limited...
false
How helpful is the response to the prompt?
[ { "id": "0", "description": "0: not helpful" }, { "id": "1", "description": "1: slightly helpful" }, { "id": "2", "description": "2: partially helpful" }, { "id": "3", "description": "3: mostly helpful" }, { "id": "4", "description": "4: extremely helpful" }...
score
3
[ 0.0002549562509371833, 0.49970339020959875, 0.00003861993690418277, 0.5000021264169895, 9.07185570413842e-7 ]
null
null
null
{"task": "helpsteer2", "example": 624074, "question": 0}
false
decider/helpsteer2/624074::q1
decider/helpsteer2/9cbf01245eddeb81
helpsteer2
decider
nvidia/HelpSteer2
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: In the Shopify Admin API, I am trying to make a list of order counts by day and I would like to use the `orders/count` endpoint provided but am worrying about hitting the rate limit for the API. Do you know what the cost of this query is and how many you could run in a single second without getting rate limited...
false
How correct and accurate is the response?
[ { "id": "0", "description": "0: completely incorrect" }, { "id": "1", "description": "1: mostly incorrect" }, { "id": "2", "description": "2: partially correct" }, { "id": "3", "description": "3: mostly correct" }, { "id": "4", "description": "4: completely co...
score
3
[ 0.00020152767646245415, 0.24378282970165158, 0.2557059217931701, 0.5002555677442794, 0.000054153084436516537 ]
null
null
null
{"task": "helpsteer2", "example": 624074, "question": 1}
false
decider/helpsteer2/624074::q2
decider/helpsteer2/9cbf01245eddeb81
helpsteer2
decider
nvidia/HelpSteer2
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: In the Shopify Admin API, I am trying to make a list of order counts by day and I would like to use the `orders/count` endpoint provided but am worrying about hitting the rate limit for the API. Do you know what the cost of this query is and how many you could run in a single second without getting rate limited...
false
How coherent and clear is the response?
[ { "id": "0", "description": "0: incoherent" }, { "id": "1", "description": "1: mostly incoherent" }, { "id": "2", "description": "2: partially coherent" }, { "id": "3", "description": "3: mostly coherent" }, { "id": "4", "description": "4: perfectly coherent" ...
score
4
[ 4.5147807564718026e-7, 0.000005774859121582082, 0.000041843544352073236, 0.49994969098069997, 0.5000022391377508 ]
null
null
null
{"task": "helpsteer2", "example": 624074, "question": 2}
false
decider/helpsteer2/624074::q3
decider/helpsteer2/9cbf01245eddeb81
helpsteer2
decider
nvidia/HelpSteer2
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: In the Shopify Admin API, I am trying to make a list of order counts by day and I would like to use the `orders/count` endpoint provided but am worrying about hitting the rate limit for the API. Do you know what the cost of this query is and how many you could run in a single second without getting rate limited...
false
What level of expertise does the response's content require?
[ { "id": "0", "description": "0: basic, anyone could write it" }, { "id": "1", "description": "1: simple" }, { "id": "2", "description": "2: intermediate" }, { "id": "3", "description": "3: advanced" }, { "id": "4", "description": "4: expert-level" } ]
score
2
[ 0.000010944137392627275, 0.25000188354994385, 0.7499714550531554, 0.000015296415338187217, 4.208441699685381e-7 ]
null
null
null
{"task": "helpsteer2", "example": 624074, "question": 3}
false
decider/helpsteer2/624074::q4
decider/helpsteer2/9cbf01245eddeb81
helpsteer2
decider
nvidia/HelpSteer2
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Prompt: In the Shopify Admin API, I am trying to make a list of order counts by day and I would like to use the `orders/count` endpoint provided but am worrying about hitting the rate limit for the API. Do you know what the cost of this query is and how many you could run in a single second without getting rate limited...
false
How verbose is the response relative to what the prompt asks for?
[ { "id": "0", "description": "0: far too short" }, { "id": "1", "description": "1: somewhat short" }, { "id": "2", "description": "2: adequate length" }, { "id": "3", "description": "3: somewhat long" }, { "id": "4", "description": "4: far too long" } ]
score
3
[ 0.000007991950262691938, 0.0000012733247469298606, 0.0000013844224980086824, 0.5010273416061863, 0.498962008696306 ]
null
null
null
{"task": "helpsteer2", "example": 624074, "question": 4}
false
decider/rules_threshold/809::q0
decider/rules_threshold/ecd73122fa7e5493
rules_threshold
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
{"subject": "Refund request", "priority": "low", "category": "technical", "assignee": "Sofia Haddad", "age_hours": 175, "tier": "basic", "resolved": false, "replies": 7, "reporter": "Hana Costa"}
false
Rule: assign to Dana when the replies is below 8, else assign to Rui.
[ { "id": "assign to Dana", "description": "assign to Dana" }, { "id": "assign to Rui", "description": "assign to Rui" } ]
choice
0
[ 0.9999968907261497, 0.0000031092738502875133 ]
null
null
null
{"task": "rules_threshold", "example": 809, "question": 0}
true
decider/commands+fmt/891::q0
decider/commands/013c4b3e57aaf2af
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
dig @8.8.8.8 example.com A +short
false
How risky is running this shell command?
[ { "id": "caution", "description": "caution: changes files, packages or settings but can be undone or redone" }, { "id": "safe", "description": "safe: read-only, or creates files without touching existing ones; nothing to undo" }, { "id": "destructive", "description": "destructive: ir...
choice
1
[ 0.0000011420876031532194, 0.999982544577969, 0.00001631333442787619 ]
null
null
null
{"task": "commands+fmt", "example": 891, "question": 0}
false
decider/commands+fmt/891::q1
decider/commands/013c4b3e57aaf2af
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
dig @8.8.8.8 example.com A +short
false
Does the command touch anything outside the current project directory (system files, other users, remote services, the whole disk)?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999964916462881, 0.000003508353711891296 ]
null
null
null
{"task": "commands+fmt", "example": 891, "question": 1}
false
decider/commands+fmt/505329::q0
decider/commands/013c4b3e57aaf2af
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
dig @8.8.8.8 example.com A +short
false
How risky is running this shell command?
[ { "id": "destructive", "description": "destructive: irreversible: deletes or overwrites data, wipes disks or branches, force-pushes, changes credentials or exposes secrets" }, { "id": "safe", "description": "safe: read-only, or creates files without touching existing ones; nothing to undo" }, ...
choice
1
[ 5.729806098045044e-7, 0.9999877094465592, 0.000011717572830812911 ]
null
null
null
{"task": "commands+fmt", "example": 505329, "question": 0}
false
decider/commands+fmt/505329::q1
decider/commands/013c4b3e57aaf2af
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
dig @8.8.8.8 example.com A +short
false
Does the command touch anything outside the current project directory (system files, other users, remote services, the whole disk)?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999962653763556, 0.0000037346236444437635 ]
null
null
null
{"task": "commands+fmt", "example": 505329, "question": 1}
true
decider/commands+fmt/969371::q0
decider/commands/013c4b3e57aaf2af
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
dig @8.8.8.8 example.com A +short
false
Does the command touch anything outside the current project directory (system files, other users, remote services, the whole disk)?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9999752133208908, 0.000024786679109257272 ]
null
null
null
{"task": "commands+fmt", "example": 969371, "question": 0}
true
decider/commands+fmt/1011776::q0
decider/commands/013c4b3e57aaf2af
commands
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
dig @8.8.8.8 example.com A +short
false
Does the command touch anything outside the current project directory (system files, other users, remote services, the whole disk)?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.9997711125849523, 0.0002288874150477011 ]
null
null
null
{"task": "commands+fmt", "example": 1011776, "question": 0}
true
decider/toolace/913::q0
decider/toolace/0da0c9b5f740c40f
toolace
decider
Team-ACE/ToolACE
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Available functions: - game_score.submit: Submit a new high score for a specific retro game along with player details. - identifySpeechEmotion: Identify the emotion expressed in a speech - Get Category: Retrieve a specific category by its ID, belonging to a team. - speakerIdentification: Identify the speaker from a giv...
false
Which function should be called to handle this request?
[ { "id": "Get Category", "description": "Get Category" }, { "id": "Get Handball Matches by Category and Date", "description": "Get Handball Matches by Category and Date" }, { "id": "no function call needed", "description": "no function call needed" }, { "id": "generateSpeech",...
choice
3
[ 1.0193734706055492e-7, 9.801337268136785e-8, 9.562425275450496e-8, 0.999995786830202, 1.4368476922171894e-7, 1.818488213174355e-7, 0.0000030280329510626832, 5.64028283943053e-7 ]
null
null
null
{"task": "toolace", "example": 913, "question": 0}
false
decider/rules_form/916::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should be done with this element?
[ { "id": "fill Mobile (old): +1 202 555 0241", "description": "fill Mobile (old): +1 202 555 0241" }, { "id": "fill Town: Madrid", "description": "fill Town: Madrid" }, { "id": "check", "description": "check" }, { "id": "fill Account: ACCT-YDKHQGAO", "description": "fill A...
choice
4
[ 2.2492588627028966e-8, 4.4987342253292273e-8, 2.123506491355108e-7, 2.410997627397174e-7, 0.9999983871456152, 1.7792829601582334e-7, 3.519217689961507e-7, 1.6995900304536198e-7, 3.921149740317166e-7 ]
null
null
null
{"task": "rules_form", "example": 916, "question": 0}
true
decider/rules_form/4792::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should be done with this element?
[ { "id": "fill Passport: P-YNMLHPS", "description": "fill Passport: P-YNMLHPS" }, { "id": "fill Policy no: POL-0Q3UF6", "description": "fill Policy no: POL-0Q3UF6" }, { "id": "fill Phone: +1 202 555 0280", "description": "fill Phone: +1 202 555 0280" }, { "id": "click", "d...
choice
4
[ 9.552475230668614e-10, 3.278491966492859e-9, 3.469059121975086e-9, 3.5375626610794876e-7, 0.9999993972140456, 5.289168734091883e-9, 2.205296671702688e-9, 1.6292332001417643e-7, 3.4071767567677895e-9, 2.97100462821992e-9, 6.453092282288346e-8 ]
null
null
null
{"task": "rules_form", "example": 4792, "question": 0}
true
decider/rules_form/244214::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "check", "description": "check" }, { "id": "click", "description": "click" }, { "id": "skip", "description": "skip" }, { "id": "fill Account: ACCT-W6R6HKG5", "description": "fill Account: ACCT-W6R6HKG5" }, { "id": "fill Notes: Nairobi", "description": ...
choice
2
[ 4.3607672431596576e-8, 1.5619985076584582e-8, 0.9999997876698875, 2.7298257320501094e-8, 3.2767691642047076e-9, 7.270005017983233e-8, 1.1886596844078082e-8, 3.794078145664351e-8 ]
null
null
null
{"task": "rules_form", "example": 244214, "question": 0}
true
decider/rules_form/373435::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "fill Contact email: zara.novak@example.org", "description": "fill Contact email: zara.novak@example.org" }, { "id": "fill Applicant: Sofia Ali", "description": "fill Applicant: Sofia Ali" }, { "id": "fill Notes: Perth", "description": "fill Notes: Perth" }, { "id": "...
choice
5
[ 2.4527495129781082e-8, 9.847172681734617e-8, 1.9102044200271397e-8, 4.339272338146706e-8, 1.2541773415917153e-7, 0.9999995597583609, 1.0823274801242487e-8, 3.781407219801597e-8, 2.7131265381699766e-8, 2.971697974538676e-8, 1.2333180534015645e-8, 1.151114264191132e-8 ]
null
null
null
{"task": "rules_form", "example": 373435, "question": 0}
true
decider/rules_form/494798::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should the form-filling agent do with this element?
[ { "id": "fill Employer: Example Trading", "description": "fill Employer: Example Trading" }, { "id": "fill Contact email: sofia.fischer@example.org", "description": "fill Contact email: sofia.fischer@example.org" }, { "id": "check", "description": "check" }, { "id": "fill Pas...
choice
7
[ 3.3351724257341906e-7, 2.6383301900723604e-7, 8.273631210182903e-8, 2.0228879175535725e-7, 6.667338746190449e-8, 2.0228833358675416e-7, 1.6221095515984331e-7, 0.9999979414563753, 1.5032707539878764e-7, 2.5725732273819736e-7, 3.3741118493915134e-7 ]
null
null
null
{"task": "rules_form", "example": 494798, "question": 0}
true
decider/rules_form/498431::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "fill Policy no: POL-STHJBG", "description": "fill Policy no: POL-STHJBG" }, { "id": "fill Emergency contact: Amara Jensen", "description": "fill Emergency contact: Amara Jensen" }, { "id": "check", "description": "check" }, { "id": "click", "description": "click"...
choice
5
[ 2.678683411985873e-8, 5.571250438642346e-9, 3.764713443705338e-8, 2.3874789986941965e-7, 2.08615986206751e-8, 0.9999996225237231, 1.4226684060130248e-8, 2.2207078955260332e-8, 1.1427796375634538e-8 ]
null
null
null
{"task": "rules_form", "example": 498431, "question": 0}
true
decider/rules_form/659919::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should the form-filling agent do with this element?
[ { "id": "fill Postcode: 65101", "description": "fill Postcode: 65101" }, { "id": "fill Emergency contact: Sofia Silva", "description": "fill Emergency contact: Sofia Silva" }, { "id": "fill Reference: elena.reyes@example.com", "description": "fill Reference: elena.reyes@example.com" ...
choice
8
[ 6.797276766297936e-8, 4.7038190981488836e-7, 5.786446778742677e-8, 0.0000014539848139767809, 0.0000017441262875514033, 6.090908230824257e-7, 6.419907589758698e-8, 6.410488758975891e-8, 0.9999953045794205, 1.6369554619163062e-7 ]
null
null
null
{"task": "rules_form", "example": 659919, "question": 0}
true
decider/rules_form/732774::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should the form-filling agent do with this element?
[ { "id": "fill Born: 1978-06-10", "description": "fill Born: 1978-06-10" }, { "id": "skip", "description": "skip" }, { "id": "fill Policy no (old): POL-ROXLNV", "description": "fill Policy no (old): POL-ROXLNV" }, { "id": "fill Emergency contact: Kenji Moreau", "descriptio...
choice
1
[ 0.0000010094278679829495, 0.9999973124522428, 9.700737287979636e-8, 1.2879647703035977e-7, 2.4657637518406276e-7, 9.219737803605144e-8, 4.693416755116191e-8, 3.2406636388038555e-8, 2.6517469945301646e-8, 8.631164733495375e-7, 1.445675387043876e-7 ]
null
null
null
{"task": "rules_form", "example": 732774, "question": 0}
true
decider/rules_form/826192::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should be done with this element?
[ { "id": "fill Account number: ACCT-A4GTHW32", "description": "fill Account number: ACCT-A4GTHW32" }, { "id": "fill Name: Ines Ali", "description": "fill Name: Ines Ali" }, { "id": "fill Phone: +1 202 555 0461", "description": "fill Phone: +1 202 555 0461" }, { "id": "skip", ...
choice
3
[ 4.148830604304748e-8, 1.6627342789434105e-8, 1.4477509201453338e-8, 0.9999998363268114, 4.815173375881386e-8, 4.627752816772186e-9, 7.153634039981942e-9, 9.796958279744114e-9, 2.1349951673042434e-8 ]
null
null
null
{"task": "rules_form", "example": 826192, "question": 0}
true
decider/rules_form/926514::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should be done with this element?
[ { "id": "skip", "description": "skip" }, { "id": "click", "description": "click" }, { "id": "fill Phone: +1 202 555 0258", "description": "fill Phone: +1 202 555 0258" }, { "id": "check", "description": "check" }, { "id": "fill Postcode: 30163", "description":...
choice
0
[ 0.9999978325318164, 3.751921553186796e-7, 5.435906494508189e-8, 3.4863424018151667e-7, 2.7449602435958593e-7, 7.564910522205189e-8, 2.0441941829630666e-7, 8.869558989971905e-8, 3.076691322176731e-7, 2.6047454073495054e-7, 1.7787891262831242e-7 ]
null
null
null
{"task": "rules_form", "example": 926514, "question": 0}
true
decider/rules_form/1273821::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "fill Postcode: 62291", "description": "fill Postcode: 62291" }, { "id": "click", "description": "click" }, { "id": "skip", "description": "skip" }, { "id": "fill Applicant: Lucas Kowalski", "description": "fill Applicant: Lucas Kowalski" }, { "id": "fill ...
choice
2
[ 1.935081267423473e-8, 7.695707052655425e-9, 0.9999999440237395, 1.493922289879971e-9, 1.3666844263714064e-9, 1.1086721495358426e-9, 2.204865047430931e-9, 2.7877493070139037e-9, 1.584441777691541e-8, 8.111228506368392e-10, 8.634347708703381e-10, 5.934292490631137e-10, 1.8554429694133064e-9 ]
null
null
null
{"task": "rules_form", "example": 1273821, "question": 0}
true
decider/rules_form/1468450::q0
decider/rules_form/b4ccf1414646a657
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Northwind Clinic - New Patient Registration ELEMENT Pane "Sidebar" value=""
false
What should be done with this element?
[ { "id": "fill Account: ACCT-DYJ5HSPO", "description": "fill Account: ACCT-DYJ5HSPO" }, { "id": "fill Company: Example Trading", "description": "fill Company: Example Trading" }, { "id": "check", "description": "check" }, { "id": "fill Notes: 1951-11-23", "description": "f...
choice
8
[ 3.750056434100969e-8, 5.071059255896464e-9, 2.015104171954702e-8, 5.520345813169284e-8, 1.2903640808834698e-7, 6.787177609070272e-8, 2.1069481036845766e-7, 6.658815210404321e-8, 0.9999993670524955, 2.564430889669032e-8, 6.93690667622132e-9, 8.249018857487138e-9 ]
null
null
null
{"task": "rules_form", "example": 1468450, "question": 0}
false
decider/bias_in_bios+fmt/967::q0
decider/bias_in_bios/cdfb29ae4fb1fae3
bias_in_bios
decider
LabHC/bias_in_bios
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
She is a clinical professor at the University of Connecticut’s medical school, Quinnipiac University’s medical school and the University of Vermont’s medical school.
false
Which pronoun set is used for this person?
[ { "id": "she/her", "description": "she/her" }, { "id": "he/him", "description": "he/him" } ]
choice
0
[ 0.9999999927904177, 7.209582232799335e-9 ]
null
null
null
{"task": "bias_in_bios+fmt", "example": 967, "question": 0}
false
decider/bias_in_bios+fmt/632482::q0
decider/bias_in_bios/cdfb29ae4fb1fae3
bias_in_bios
decider
LabHC/bias_in_bios
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
She is a clinical professor at the University of Connecticut’s medical school, Quinnipiac University’s medical school and the University of Vermont’s medical school.
false
What is this person's profession?
[ { "id": "paralegal", "description": "paralegal" }, { "id": "attorney", "description": "attorney" }, { "id": "physician", "description": "physician" }, { "id": "pastor", "description": "pastor" }, { "id": "disappointment", "description": "disappointment" }, ...
choice
2
[ 1.143170328495602e-9, 2.8772211517225375e-9, 0.9999998423609664, 1.125401915850905e-9, 7.918556782940347e-9, 7.484373223096162e-9, 1.8200166371101292e-9, 1.977481275992047e-9, 7.577891087048797e-9, 2.9716939338575074e-8, 2.5028513525419164e-9, 9.349513051668205e-8 ]
null
null
null
{"task": "bias_in_bios+fmt", "example": 632482, "question": 0}
false
decider/bias_in_bios+fmt/632482::q1
decider/bias_in_bios/cdfb29ae4fb1fae3
bias_in_bios
decider
LabHC/bias_in_bios
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
She is a clinical professor at the University of Connecticut’s medical school, Quinnipiac University’s medical school and the University of Vermont’s medical school.
false
Which pronoun set is used for this person?
[ { "id": "she/her", "description": "she/her" }, { "id": "he/him", "description": "he/him" } ]
choice
0
[ 0.9999999930359748, 6.964025264893192e-9 ]
null
null
null
{"task": "bias_in_bios+fmt", "example": 632482, "question": 1}
false
decider/bias_in_bios/784599::q0
decider/bias_in_bios/cdfb29ae4fb1fae3
bias_in_bios
decider
LabHC/bias_in_bios
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
She is a clinical professor at the University of Connecticut’s medical school, Quinnipiac University’s medical school and the University of Vermont’s medical school.
false
What is this person's profession?
[ { "id": "nurse", "description": "nurse" }, { "id": "physician", "description": "physician" }, { "id": "surgeon", "description": "surgeon" }, { "id": "interior designer", "description": "interior designer" }, { "id": "professor", "description": "professor" },...
choice
1
[ 2.1050173326351014e-9, 0.500000032260492, 2.780436663190344e-9, 3.3626732925388517e-9, 0.4999999363874584, 5.437167949630323e-10, 4.472365855136055e-9, 4.238924396907534e-10, 1.7294866579522275e-8, 3.6908081513708005e-10 ]
null
null
null
{"task": "bias_in_bios", "example": 784599, "question": 0}
false
decider/bias_in_bios/784599::q1
decider/bias_in_bios/cdfb29ae4fb1fae3
bias_in_bios
decider
LabHC/bias_in_bios
mit
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
She is a clinical professor at the University of Connecticut’s medical school, Quinnipiac University’s medical school and the University of Vermont’s medical school.
false
Which pronoun set is used for this person?
[ { "id": "she/her", "description": "she/her" }, { "id": "he/him", "description": "he/him" } ]
choice
0
[ 0.9999999229536044, 7.704639561749531e-8 ]
null
null
null
{"task": "bias_in_bios", "example": 784599, "question": 1}
false
decider/helpsteer3_pref+iso/968::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: response 1 is slightly better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.271628999244833, 0.728371000755167 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 968, "question": 0}
false
decider/helpsteer3_pref/18963::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much?
[ { "id": "-3", "description": "-3: response 1 is much better" }, { "id": "-2", "description": "-2: response 1 is better" }, { "id": "-1", "description": "-1: response 1 is slightly better" }, { "id": "0", "description": "0: both are about the same" }, { "id": "1", ...
score
1
[ 1.6453677616653578e-7, 0.5000003606079392, 0.0000012856632465585972, 0.0000036562347495998725, 0.4999898014513764, 0.000004676426206676844, 5.507970540122837e-8 ]
null
null
null
{"task": "helpsteer3_pref", "example": 18963, "question": 0}
false
decider/helpsteer3_pref/265960::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much?
[ { "id": "-3", "description": "-3: response 1 is much better" }, { "id": "-2", "description": "-2: response 1 is better" }, { "id": "-1", "description": "-1: response 1 is slightly better" }, { "id": "0", "description": "0: both are about the same" }, { "id": "1", ...
score
1
[ 0.0000027955289528254016, 0.5000037120203273, 0.000006869450827520506, 0.00002576644915638935, 0.49987495119577235, 0.00008253796552295438, 0.000003367389440585404 ]
null
null
null
{"task": "helpsteer3_pref", "example": 265960, "question": 0}
true
decider/helpsteer3_pref+iso/450100::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: response 2 is better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.4916835968978803, 0.5083164031021197 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 450100, "question": 0}
true
decider/helpsteer3_pref+iso/564530::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: response 1 is much better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.3029997343472739, 0.6970002656527261 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 564530, "question": 0}
false
decider/helpsteer3_pref+iso/983232::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: response 1 is better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
0
[ 0.5437630783394362, 0.4562369216605638 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 983232, "question": 0}
false
decider/helpsteer3_pref+iso/1220161::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: response 2 is slightly better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.49999566418338637, 0.5000043358166136 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 1220161, "question": 0}
false
decider/helpsteer3_pref+iso/1352401::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: both are about the same Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.00014913516023724253, 0.9998508648397627 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 1352401, "question": 0}
false
decider/helpsteer3_pref+iso/1441062::q0
decider/helpsteer3_pref/92dbbaddb1db7083
helpsteer3_pref
decider
nvidia/HelpSteer3
cc-by-4.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Conversation: user: why is it not normal to get to 3-6 starting from 1-1 in plants vs zombies in less then a hour. Response 1: It's not unusual for the game "Plants vs. Zombies" to take longer than an hour to reach the 3-6 level, especially if you're playing on the "Adventure" mode. Here are a few reasons why: 1. Le...
false
Which response is the better final reply, and by how much? Proposed answer: response 2 is much better Does the proposed answer fit?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.24993736012185977, 0.7500626398781403 ]
null
null
null
{"task": "helpsteer3_pref+iso", "example": 1441062, "question": 0}
false
decider/rules_form/1008::q0
decider/rules_form/f8f2fdefa3f6ac2c
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Example Bank - Account Opening ELEMENT CheckBox "Subscribe to the newsletter" checked
false
What should be done with this element?
[ { "id": "click", "description": "click" }, { "id": "fill Company: Example Labs", "description": "fill Company: Example Labs" }, { "id": "check", "description": "check" }, { "id": "fill Status: Ravi Byrne", "description": "fill Status: Ravi Byrne" }, { "id": "fill ...
choice
6
[ 3.0353400690643026e-8, 3.0648813698202716e-8, 0.49999945158886994, 5.285849097000411e-8, 3.137345907649484e-7, 1.1166450185973627e-8, 0.500000060365076, 4.9284307701933565e-8 ]
null
null
null
{"task": "rules_form", "example": 1008, "question": 0}
true
decider/rules_form/214475::q0
decider/rules_form/f8f2fdefa3f6ac2c
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Example Bank - Account Opening ELEMENT CheckBox "Subscribe to the newsletter" checked
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "fill DOB: 2003-07-09", "description": "fill DOB: 2003-07-09" }, { "id": "skip", "description": "skip" }, { "id": "fill Passport: P-NRED53L", "description": "fill Passport: P-NRED53L" }, { "id": "fill Emergency contact: Tomás Nakamura", "description": "fill Emerge...
choice
1
[ 1.1557068914667553e-7, 0.9999981245721041, 1.4177097540130393e-7, 6.062113939435588e-8, 2.0035258835686833e-7, 2.4728804338722485e-7, 2.1131733328394898e-7, 3.9475714778689886e-8, 8.590314119567118e-7 ]
null
null
null
{"task": "rules_form", "example": 214475, "question": 0}
true
decider/rules_form/296743::q0
decider/rules_form/f8f2fdefa3f6ac2c
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Example Bank - Account Opening ELEMENT CheckBox "Subscribe to the newsletter" checked
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "fill Passport: P-TJLM48A", "description": "fill Passport: P-TJLM48A" }, { "id": "fill DOB: 1984-10-06", "description": "fill DOB: 1984-10-06" }, { "id": "fill Office: POL-CI45R2", "description": "fill Office: POL-CI45R2" }, { "id": "skip", "description": "skip" ...
choice
3
[ 1.7714024210398263e-8, 5.773394227964834e-9, 1.6836140624588514e-8, 0.9999995380559852, 1.6765108499100434e-9, 6.761980137279217e-8, 3.0353412702129604e-8, 1.048997325461501e-8, 2.030826931593767e-8, 3.896570929344652e-9, 3.77413985415924e-9, 8.250931463169252e-8, 1.3093213103828409e-7, 7....
null
null
null
{"task": "rules_form", "example": 296743, "question": 0}
true
decider/rules_form/449322::q0
decider/rules_form/f8f2fdefa3f6ac2c
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Example Bank - Account Opening ELEMENT CheckBox "Subscribe to the newsletter" checked
false
What should be done with this element?
[ { "id": "fill Mobile: +1 202 555 0135", "description": "fill Mobile: +1 202 555 0135" }, { "id": "fill Passport: P-XN7DS8B", "description": "fill Passport: P-XN7DS8B" }, { "id": "click", "description": "click" }, { "id": "fill Account number: ACCT-5W7EBXX6", "description"...
choice
8
[ 1.7625080870891205e-8, 5.398111546307139e-9, 6.424347676686325e-9, 6.862933392523219e-10, 0.49999986138521507, 1.7290905715897445e-9, 1.359100517260854e-9, 7.057657705722532e-8, 0.5000000348161834 ]
null
null
null
{"task": "rules_form", "example": 449322, "question": 0}
false
decider/rules_form/1121029::q0
decider/rules_form/f8f2fdefa3f6ac2c
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Example Bank - Account Opening ELEMENT CheckBox "Subscribe to the newsletter" checked
false
What should be done with this element?
[ { "id": "fill Account: ACCT-A5ADW8DR", "description": "fill Account: ACCT-A5ADW8DR" }, { "id": "fill ZIP: 43593", "description": "fill ZIP: 43593" }, { "id": "check", "description": "check" }, { "id": "fill Emergency contact: Priya Jensen", "description": "fill Emergency ...
choice
7
[ 1.9837666872456576e-8, 1.4035820466231258e-7, 0.49999973498860256, 1.3885158602137325e-8, 3.740429799966993e-9, 1.873929648248133e-8, 3.21177569868376e-8, 0.5000000153826978, 2.095018629144944e-8 ]
null
null
null
{"task": "rules_form", "example": 1121029, "question": 0}
true
decider/rules_form/1348095::q0
decider/rules_form/f8f2fdefa3f6ac2c
rules_form
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
TASK fill the form from the document, then submit FORM Example Bank - Account Opening ELEMENT CheckBox "Subscribe to the newsletter" checked
false
Fill an empty field with its document value (also when the value is stale), check a required box that is unchecked, click the submit button; skip anything else. What applies here?
[ { "id": "fill Notes: 1984-01-19", "description": "fill Notes: 1984-01-19" }, { "id": "fill Town: Lyon", "description": "fill Town: Lyon" }, { "id": "fill Office: 73853", "description": "fill Office: 73853" }, { "id": "click", "description": "click" }, { "id": "fil...
choice
6
[ 4.5663708001747804e-8, 1.3802963895865021e-8, 2.798458491892536e-8, 1.5322488479064093e-7, 3.1653726384335015e-9, 4.740215910211617e-7, 0.9999992641732253, 1.3326702950783277e-8, 4.636966550600333e-9 ]
null
null
null
{"task": "rules_form", "example": 1348095, "question": 0}
true
decider/rules_membership/1070::q0
decider/rules_membership/e610bc35dee9fe59
rules_membership
decider
github.com/Mapika/decider
apache-2.0
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
{"sender": "ravi.costa@example.org", "subject": "Password", "attachment": false, "spam_score": 62, "unread": true, "folder": "archive", "domain": "example.com", "recipients": 34, "labels": ["family"]}
false
Check the condition "the domain is mail.invalid". Does it hold?
[ { "id": "yes", "description": "yes" }, { "id": "no", "description": "no" } ]
noul
1
[ 0.000003234558597640789, 0.9999967654414024 ]
null
null
null
{"task": "rules_membership", "example": 1070, "question": 0}
false
decider/shp/1141::q0
decider/shp/129e50393735cf15
shp
decider
stanfordnlp/shp
unknown (Reddit API terms)
50% decider label (dataset, code or decider's teacher) + 50% Qwen3.8-27B
Forum post (askcarguys): What is your dream car and why? Response A: AMG CLK GTR all day every day, pity that I’ll never get within a 1000 miles of one Response B: 2015 Mercedes Benz C63. Looks and rides savage.
false
Which response is the better answer to the prompt?
[ { "id": "response A", "description": "response A" }, { "id": "response B", "description": "response B" } ]
choice
0
[ 0.5000029039758476, 0.49999709602415243 ]
null
null
null
{"task": "shp", "example": 1141, "question": 0}
true
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DecisionBank

Training dataset for decision models. Each row has a state (text or JSON), a question, its options, and a target, i.e. a probability for each option. The data comes in two configs with the same rows and fields:

Config Rows Tokens What it is
DecisionBank-625k (default) 624,517 279M the complete dataset
DecisionBank-260k 261,561 108M a subset of DecisionBank-625k, used for training Jeff-1.1 models

Tokens are the prompt tokens the models see (chat template, options labeled A, B, C, ...), counted with the Gemma 4 tokenizer; the Qwen3.5 / Qwen3.6 tokenizer gives 277M and 107M.

Usage

from datasets import load_dataset
import json

data = load_dataset("jgeuter/DecisionBank", "DecisionBank-625k", split="train")   # all 624,517 rows
mix = load_dataset("jgeuter/DecisionBank", "DecisionBank-260k", split="train")    # the Jeff 1.1 training file
row = data[0]
state = json.loads(row["state"]) if row["state_is_json"] else row["state"]

What is in it

Part (part) Rows in DecisionBank-625k Rows in DecisionBank-260k Questions written by Target (target_origin)
decider: decider's public training mixture, 79 task families 300,042 161,638 public datasets (66 families), code (12 families), decider's teacher (3 families) 50% decider's label + 50% Qwen3.8-27B
human_soft: Civil Comments, Measuring Hate Speech, STS-B, ChaosNLI 67,646 9,168 public datasets 50% human annotation distribution + 50% Qwen3.8-27B
jeff10_llm: synthetic business documents and decider's custom questions (from Jeff 1.0) 50,137 4,188 Qwen3.6-27B (documents); decider 50% Jeff 1.0 teachers + 50% Qwen3.8-27B
j11_written: new decision questions 138,782 58,125 Qwen3.8-27B, thinking off Qwen3.8-27B with thinking (mean of 2 samples)
j11_generator: new programmatic questions 67,910 28,442 code computed by code
total 624,517 261,561
  • decider's mixture: rebuilt with the code of decider (commit 5f91c01), from public datasets such as CLINC, banking77, MNLI, BoolQ, ARC and MMLU's auxiliary training split. Its families are listed under Licences. Targets rebuilt with labels from Qwen3.8-27B.
  • Qwen3.8-27B labels: Qwen/Qwen3.8-27B (revision 1d4bf0f2), with thinking (up to 6,144 thinking tokens), two samples with the choice options shuffled. Its answer distribution is the mean of the two samples' option probabilities.
  • Jeff 1.0 teachers: Qwen3.6-27B and Qwen3.5-122B-A10B, two thinking samples each, averaged.
  • New written questions: each one is written from a short specification (task family, use case, question type, difficulty, language). A question is kept only when Qwen3.8-27B's own answer, with thinking, matches the answer the writer intended (this holds for every written row in both configs). They cover 22 languages (DecisionBank-625k: 112,727 in English and 1,091-1,343 in each other language; DecisionBank-260k: 47,361 in English and about 500 in each other language) and many business use cases.
  • New programmatic questions: made by the generators of OpenDecisions with a new random seed. Their labels are computed; 22,251 of them in DecisionBank-625k (9,309 in DecisionBank-260k) also have exact answer probabilities.

Question types: Questions span multiple-choice yes/no (noul), and score questions.

Question type DecisionBank-625k DecisionBank-260k
choice 318,777 155,652
yes/no (noul) 171,257 66,830
score 134,483 39,079

How DecisionBank-260k was made from DecisionBank-625k

The first three parts (decider, human_soft, jeff10_llm) form 87 task families of very different sizes in DecisionBank-625k (from a few hundred rows up to 30,641; median 4,090). For DecisionBank-260k, every family was cut to at most 2,094 random rows (the 11 smaller families stay whole), which leaves 174,994 of their 417,825 rows (41.9%). The written and the programmatic questions were then sampled at the same rate (41.9%), so the three sources keep the shares they have in DecisionBank-625k (66.9%, 22.2% and 10.9% of the rows). Random seed 23. So DecisionBank-260k balances the task families; it does not change the share of the new data. We observed a small improvement on validation data from switching from DecisionBank-625k to DecisionBank-260k, but the difference was not significant.

Fields

Field Meaning
id, group_id row id; rows from the same source item or pair share a group
family task family
part, source_dataset which part of the data, and where the row comes from
source_license the licence the source states (see Licences)
target_origin where the target comes from
state the state, always a string
state_is_json true when state is a JSON object written as a string (46,133 rows in DecisionBank-625k, 15,117 in DecisionBank-260k); parse it to get the object the models saw
question the question
options list of {id, description}, in the stored order
qtype choice, noul (yes/no) or score (ordered levels)
label index of the target's most likely option
target_distribution the training target, one probability per option; null for the programmatic rows without exact probabilities (45,659 in DecisionBank-625k, 19,133 in DecisionBank-260k), which were trained on label
tier, language, use_case difficulty tier, language and use case of the new questions (null otherwise)
source_ref a JSON string that points back to the source item (for example the task and example index in decider, or the comment id)
in_jeff_1_1 true for the rows of the DecisionBank-260k config (always true in that config)

Jeff-1.1 models

The four Jeff 1.1 models (Jeff-1.1-Large, Jeff-1.1-Qwen-27B, Jeff-1.1-Medium, Jeff-1.1-Qwen-4B) trained on DecisionBank-260k:

Model Training steps Training tokens (per seed)
Jeff-1.1-Large (Gemma 4 31B) 1,500 89.2M
Jeff-1.1-Qwen-27B (Qwen3.6-27B) 1,500 89.2M
Jeff-1.1-Medium (Gemma 4 12B) 1,500 89.2M
Jeff-1.1-Qwen-4B (Qwen3.5-4B) 800 47.5M

Each model soups three training runs in weight space (=averaging weights). A step holds up to 65,536 tokens including padding (about 59,500 real tokens, or about 145 questions). So 1,500 steps see about 83% of DecisionBank-260k once, and 800 steps about 44%. For more details, please see our paper Releasing the Inner Jev: A Simple Recipe for Open Decision Models.

Disclosure:

  • No OpenDecisions items and no JevBench items are in this dataset.
  • The programmatic questions are template siblings of OpenDecisions. They come from the same generator code as the code-labeled families of OpenDecisions (counting traps, composite rules, negation pairs, calibration items), with a new seed. None is identical to an OpenDecisions item.
  • No output of Jev or other TypeSafe products is in this data.
  • Some public sources contain outputs of other language models (for example UltraFeedback and hh-rlhf in decider's mixture), and the new questions and part of the targets come from Qwen models.

Licences

The rows keep the terms of their sources. We release our own parts (j11_written, j11_generator, and the documents and labels we made for jeff10_llm) under CC BY-SA 4.0. source_license holds the licence that each source states on its dataset card; "unknown" means we found no licence statement. This is not legal advice: check the terms of a source before you use its rows.

Several sources restrict use. Do not use this data commercially. Terms overview:

Terms Sources (rows)
non-commercial (CC BY-NC 4.0) ToxicChat, customer-support-tickets, ChaosNLI
research use only RACE, MS MARCO, Microsoft WikiQA, dair-ai/emotion, Mind2Web, SuperGLUE (COPA, WiC, MultiRC)
copyleft FEVER (GPL-3.0 and CC BY-SA 3.0); share-alike sources such as SNLI, BoolQ, ARC and DBpedia
no licence stated AG News, Yahoo Answers topics, 20 Newsgroups, SST-2, SST-5, tweet_eval, SMS spam, Enron spam, insincere questions, OpenBookQA, HellaSwag, PIQA, AgentTraj-L, SHP, MASSIVE, and other SetFit mirrors
other terms IMDB, Yelp, Amazon reviews, GLUE (QQP: Quora terms)

To keep only rows whose source states a permissive licence, filter on source_license.

Citation

If you find this dataset helpful, please consider citing our paper:

@misc{geuter2026releasinginnerjevsimple,
      title={Releasing the Inner Jev: A Simple Recipe for Open Decision Models},
      author={Jonathan Geuter and Andrew Cheng and David Alvarez-Melis},
      year={2026},
      eprint={2610.17205},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2610.17205},
}
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