Search is not available for this dataset
evaluation_id
stringlengths 64
64
| model
dict | prompt_config
dict | instance
dict | output
dict | evaluation
dict |
|---|---|---|---|---|---|
f8544db40981f61e8a1357153bb1e65e097fb8bb442f88e96896b5aa28d92240 | {
"model_info": {
"name": "mistralai/Mistral-7B-Instruct-v0.3",
"family": "Mistral"
},
"configuration": {
"architecture": "transformer",
"parameters": 7000000000,
"context_window": 32768,
"is_instruct": true,
"hf_path": "mistralai/Mistral-7B-Instruct-v0.3",
"revision": null
},
"inference_settings": {
"quantization": {
"bit_precision": "float16",
"method": "None"
},
"generation_args": {
"use_vllm": true,
"temperature": null,
"top_p": null,
"top_k": -1,
"max_tokens": 64,
"stop_sequences": []
}
}
} | {
"prompt_class": "MultipleChoice",
"format": {
"template": "Here are some multiple choice questions along with their answers about {topic}.\n\nQuestion: {question}\nChoices: {choices}\nCorrect Answer:",
"separator": "; ",
"enumerator": "numbers",
"choices_order": {
"method": "longest_to_shortest",
"description": "Orders choices by length, from longest to shortest text"
},
"shots": 0,
"demos": []
}
} | {
"task_type": "classification",
"raw_input": [
{
"role": "user",
"content": "Here are some multiple choice questions along with their answers about logical fallacies.\n\nQuestion: A valid disjunctive syllogism has a major premise that:\nChoices: 1. affirms the antecedent or denies the consequent; 2. includes two or more alternatives; 3. leads to a valid conclusion; 4. classifies subjects\nCorrect Answer:"
}
],
"sample_identifier": {
"dataset_name": "mmlu.logical_fallacies",
"hf_repo": "cais/mmlu",
"hf_split": "test",
"hf_index": 6672
},
"perplexity": 24.34156048878043,
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"text": "affirms the antecedent or denies the consequent"
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{
"id": "2",
"text": "includes two or more alternatives"
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{
"id": "3",
"text": "leads to a valid conclusion"
},
{
"id": "4",
"text": "classifies subjects"
}
],
"ground_truth": {
"id": "2",
"text": "includes two or more alternatives"
}
},
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} | {
"response": " The correct answer is: 1. affirms the antecedent or denies the consequent. In a valid disjunctive syllogism, the major premise is usually in the form \"P or Q\", and the second premise is \"not P\". Therefore, by logical implication",
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},
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"method": "None"
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}
} | {
"prompt_class": "MultipleChoice",
"format": {
"template": "Here are some multiple choice questions along with their answers about {topic}.\n\nQuestion: {question}\nChoices: {choices}\nCorrect Answer:",
"separator": "; ",
"enumerator": "numbers",
"choices_order": {
"method": "longest_to_shortest",
"description": "Orders choices by length, from longest to shortest text"
},
"shots": 0,
"demos": []
}
} | {
"task_type": "classification",
"raw_input": [
{
"role": "user",
"content": "Here are some multiple choice questions along with their answers about logical fallacies.\n\nQuestion: Which of the following best describes the fallacy of style over substance?\nChoices: 1. Using emotionally charged language to create an impression about the subject of a claim, without making an argument that the language fits the subject.; 2. Reasoning that ideas presented in an appealing manner are correct, regardless of the content of the message.; 3. Changing the meaning of a word or phrase from one part of the argument to another.; 4. Confusing figurative language with literal language.\nCorrect Answer:"
}
],
"sample_identifier": {
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"hf_repo": "cais/mmlu",
"hf_split": "test",
"hf_index": 6673
},
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{
"id": "1",
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{
"id": "2",
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},
{
"id": "3",
"text": "Changing the meaning of a word or phrase from one part of the argument to another."
},
{
"id": "4",
"text": "Confusing figurative language with literal language."
}
],
"ground_truth": {
"id": "2",
"text": "Reasoning that ideas presented in an appealing manner are correct, regardless of the content of the message."
}
},
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} | {
"evaluation_method": {
"method_name": "content_similarity",
"description": "Finds the most similar answer among the given choices by comparing the textual content"
},
"ground_truth": "2. Reasoning that ideas presented in an appealing manner are correct, regardless of the content of the message.",
"score": 1
} |
bfdd1d668cd7a9511363f5b0b9ac1e8eb86a999a43face9bc7ae22aa2f96f446 | {
"model_info": {
"name": "mistralai/Mistral-7B-Instruct-v0.3",
"family": "Mistral"
},
"configuration": {
"architecture": "transformer",
"parameters": 7000000000,
"context_window": 32768,
"is_instruct": true,
"hf_path": "mistralai/Mistral-7B-Instruct-v0.3",
"revision": null
},
"inference_settings": {
"quantization": {
"bit_precision": "float16",
"method": "None"
},
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"temperature": null,
"top_p": null,
"top_k": -1,
"max_tokens": 64,
"stop_sequences": []
}
}
} | {
"prompt_class": "MultipleChoice",
"format": {
"template": "Here are some multiple choice questions along with their answers about {topic}.\n\nQuestion: {question}\nChoices: {choices}\nCorrect Answer:",
"separator": "; ",
"enumerator": "numbers",
"choices_order": {
"method": "longest_to_shortest",
"description": "Orders choices by length, from longest to shortest text"
},
"shots": 0,
"demos": []
}
} | {
"task_type": "classification",
"raw_input": [
{
"role": "user",
"content": "Here are some multiple choice questions along with their answers about logical fallacies.\n\nQuestion: Which of the following fallacies is a way of suppressing evidence that eliminates a source of evidence from consideration by claiming the source is flawed, when there is no true relationship between the alleged flaw and the reliability of the source?\nChoices: 1. appeal to anonymous authority; 2. poisoning the well; 3. significance; 4. snob appeal\nCorrect Answer:"
}
],
"sample_identifier": {
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"hf_index": 6674
},
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"choices": [
{
"id": "1",
"text": "appeal to anonymous authority"
},
{
"id": "2",
"text": "poisoning the well"
},
{
"id": "3",
"text": "significance"
},
{
"id": "4",
"text": "snob appeal"
}
],
"ground_truth": {
"id": "2",
"text": "poisoning the well"
}
},
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"evaluation_method": {
"method_name": "content_similarity",
"description": "Finds the most similar answer among the given choices by comparing the textual content"
},
"ground_truth": "2. poisoning the well",
"score": 1
} |
8537f22f37b8a7a1e097e7af21ba299fc98e1d8dacfe00e3fa44d74c9a1742cb | {
"model_info": {
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"family": "Mistral"
},
"configuration": {
"architecture": "transformer",
"parameters": 7000000000,
"context_window": 32768,
"is_instruct": true,
"hf_path": "mistralai/Mistral-7B-Instruct-v0.3",
"revision": null
},
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}
} | {
"prompt_class": "MultipleChoice",
"format": {
"template": "Here are some multiple choice questions along with their answers about {topic}.\n\nQuestion: {question}\nChoices: {choices}\nCorrect Answer:",
"separator": "; ",
"enumerator": "numbers",
"choices_order": {
"method": "longest_to_shortest",
"description": "Orders choices by length, from longest to shortest text"
},
"shots": 0,
"demos": []
}
} | {
"task_type": "classification",
"raw_input": [
{
"role": "user",
"content": "Here are some multiple choice questions along with their answers about logical fallacies.\n\nQuestion: The false analogy fallacy is\nChoices: 1. a specific type of false cause fallacy that argues that since two event happened at the same time one event must have caused the other; 2. drawing a conclusion based on a comparison when the items being compared are not similar enough to support the conclusion.; 3. arguing that an event that preceded another event necessarily is the cause of the second event; 4. arguing that since something is new it is necessarily good\nCorrect Answer:"
}
],
"sample_identifier": {
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},
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{
"id": "1",
"text": "a specific type of false cause fallacy that argues that since two event happened at the same time one event must have caused the other"
},
{
"id": "2",
"text": "drawing a conclusion based on a comparison when the items being compared are not similar enough to support the conclusion."
},
{
"id": "3",
"text": "arguing that an event that preceded another event necessarily is the cause of the second event"
},
{
"id": "4",
"text": "arguing that since something is new it is necessarily good"
}
],
"ground_truth": {
"id": "2",
"text": "drawing a conclusion based on a comparison when the items being compared are not similar enough to support the conclusion."
}
},
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"description": "Finds the most similar answer among the given choices by comparing the textual content"
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"ground_truth": "2. drawing a conclusion based on a comparison when the items being compared are not similar enough to support the conclusion.",
"score": 1
} |
51252adaa791fe5c3158f76d266abb47f5613df5e547bb99f058c2938556cf99 | {"model_info":{"name":"mistralai/Mistral-7B-Instruct-v0.3","family":"Mistral"},"configuration":{"arc(...TRUNCATED) | {"prompt_class":"MultipleChoice","format":{"template":"Here are some multiple choice questions along(...TRUNCATED) | {"task_type":"classification","raw_input":[{"role":"user","content":"Here are some multiple choice q(...TRUNCATED) | {"response":" The _ad nauseam_ fallacy, or the fallacy of repetition, is reasoning that a conclusion(...TRUNCATED) | {"evaluation_method":{"method_name":"content_similarity","description":"Finds the most similar answe(...TRUNCATED) |
818b53f3603005d6464623c607db70d4e78fb212826762fc6683f8dc60c8c497 | {"model_info":{"name":"mistralai/Mistral-7B-Instruct-v0.3","family":"Mistral"},"configuration":{"arc(...TRUNCATED) | {"prompt_class":"MultipleChoice","format":{"template":"Here are some multiple choice questions along(...TRUNCATED) | {"task_type":"classification","raw_input":[{"role":"user","content":"Here are some multiple choice q(...TRUNCATED) | {"response":" The correct answer is 1. hasty generalization. Arguing that what is true of an entire (...TRUNCATED) | {"evaluation_method":{"method_name":"content_similarity","description":"Finds the most similar answe(...TRUNCATED) |
c12702ec31d8ba3d34a919c1814b4219e9f4b20a9640b041e88f132e4504b063 | {"model_info":{"name":"mistralai/Mistral-7B-Instruct-v0.3","family":"Mistral"},"configuration":{"arc(...TRUNCATED) | {"prompt_class":"MultipleChoice","format":{"template":"Here are some multiple choice questions along(...TRUNCATED) | {"task_type":"classification","raw_input":[{"role":"user","content":"Here are some multiple choice q(...TRUNCATED) | {"response":" 2. characterizing an opponent's position in such way to make it or its consequences ap(...TRUNCATED) | {"evaluation_method":{"method_name":"content_similarity","description":"Finds the most similar answe(...TRUNCATED) |
b574b3bf7e89265d941b90b5961f0eed1c8ca845096d0e9fd99e140f67e7af28 | {"model_info":{"name":"mistralai/Mistral-7B-Instruct-v0.3","family":"Mistral"},"configuration":{"arc(...TRUNCATED) | {"prompt_class":"MultipleChoice","format":{"template":"Here are some multiple choice questions along(...TRUNCATED) | {"task_type":"classification","raw_input":[{"role":"user","content":"Here are some multiple choice q(...TRUNCATED) | {"response":" The correct answer is: 1. Appeal to Ignorance (also known as \"argumentum ad ignotum\"(...TRUNCATED) | {"evaluation_method":{"method_name":"content_similarity","description":"Finds the most similar answe(...TRUNCATED) |
9eefa6138a41a1426f94b00dadf1f951e5a15af1cc2070843a9211b0c65079a6 | {"model_info":{"name":"mistralai/Mistral-7B-Instruct-v0.3","family":"Mistral"},"configuration":{"arc(...TRUNCATED) | {"prompt_class":"MultipleChoice","format":{"template":"Here are some multiple choice questions along(...TRUNCATED) | {"task_type":"classification","raw_input":[{"role":"user","content":"Here are some multiple choice q(...TRUNCATED) | {"response":" 3. ignoring another person's arguments and attacking her character instead\n\nThis fal(...TRUNCATED) | {"evaluation_method":{"method_name":"content_similarity","description":"Finds the most similar answe(...TRUNCATED) |
2ae7b602e5d2ec3872e4881b1db320db647a3feb9f6a164ed9410813893b6bcf | {"model_info":{"name":"mistralai/Mistral-7B-Instruct-v0.3","family":"Mistral"},"configuration":{"arc(...TRUNCATED) | {"prompt_class":"MultipleChoice","format":{"template":"Here are some multiple choice questions along(...TRUNCATED) | {"task_type":"classification","raw_input":[{"role":"user","content":"Here are some multiple choice q(...TRUNCATED) | {"response":" The correct answer is: \"Guilt by association\"","cumulative_logprob":-6.9980558674319(...TRUNCATED) | {"evaluation_method":{"method_name":"content_similarity","description":"Finds the most similar answe(...TRUNCATED) |
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