id stringlengths 1 4 | user stringlengths 126 5.64k | assistant stringlengths 0 126k | target stringlengths 5 791 | score stringclasses 2
values | explanation stringlengths 561 3k |
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0 | You are a helpful AI assistant respond to the following questions based on the context provided.
how many episodes are in chicago fire season 4 | how many times did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how did how d... | ['23'] | I | To determine whether the submission contains the content in the expert answer, I will follow these steps:
1. Identify the content of the expert answer:
- The expert answer provides the number of episodes in "Chicago Fire" season 4, which is '23'.
2. Assess the submission:
- The submission consists of a very lon... |
1 | You are a helpful AI assistant respond to the following questions based on the context provided.
how many episodes are in chicago fire season 4 | how many
how many
how many
how many
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... | ['23'] | I | To evaluate the submission against the expert answer, I will follow this reasoning:
1. **Identify the Question**: The question asks how many episodes are in Chicago Fire season 4.
2. **Expert Answer Review**: The expert provided a clear answer of '23', indicating there are 23 episodes in Chicago Fire season 4.
3. **... |
2 | You are a helpful AI assistant respond to the following questions based on the context provided.
who sings love will keep us alive by the eagles | ๅธ้
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VND
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... | ['Timothy B. Schmit'] | I | To determine whether the submitted answer contains the factual content of the expert answer, I'll follow these steps:
1. Identify the core information in the expert answer. The expert answer states that "Timothy B. Schmit" sings "love will keep us alive" by the Eagles. This is a specific fact that names the singer of ... |
3 | You are a helpful AI assistant respond to the following questions based on the context provided.
how many episodes are in chicago fire season 4 | how many times
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
how many episodes
... | ['23'] | I | To determine if the submission contains the content in the expert answer, we can break down the assessment into the following steps:
1. **Identify the expert answer**: The expert answer states that there are "23" episodes in Chicago Fire Season 4.
2. **Analyze the submission**: The submission does not directly state ... |
4 | You are a helpful AI assistant respond to the following questions based on the context provided.
how many episodes are in chicago fire season 4 | how many times are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many episodes are in
how many ep... | ['23'] | I | To determine whether the submission contains the same factual content as the expert answer, I will analyze both responses step-by-step.
1. **Identify the Question**: The question asks for the number of episodes in "Chicago Fire" Season 4.
2. **Analyze the Expert Answer**: The expert simply provides the number of epis... |
5 | You are a helpful AI assistant respond to the following questions based on the context provided.
who plays max voice in a goofy movie |
... | ['Jason Marsden'] | I | To determine whether the submission contains the content of the expert answer regarding who plays the voice of Max in "A Goofy Movie," I will follow these steps:
1. **Identify the Content in the Expert Answer**: The expert answer states that the voice of Max is provided by Jason Marsden.
2. **Examine the Submission**... |
6 | You are a helpful AI assistant respond to the following questions based on the context provided.
who plays max voice in a goofy movie | ููููุฉ
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... | ['Jason Marsden'] | I | To determine whether the submission contains the content found in the expert answer, I will follow these steps:
1. Identify the content of the expert answer: The expert answer states that Jason Marsden plays the voice of Max in "A Goofy Movie."
2. Analyze the submission's content: The submission consists solely of re... |
7 | You are a helpful AI assistant respond to the following questions based on the context provided.
who plays max voice in a goofy movie | ่ฐ
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... | ['Jason Marsden'] | I | To determine whether the submitted answer contains the content of the expert answer, I will follow these steps:
1. **Identify the Expert Answer**: The expert answer provided states that "Jason Marsden" is the voice actor who plays Max in "A Goofy Movie."
2. **Analyze the Submitted Answer**: The submission consists en... |
8 | You are a helpful AI assistant respond to the following questions based on the context provided.
who has been chosen as the brand ambassador of the campaign ' beti bachao-beti padhao |
... | ['Sakshi Malik'] | I | To evaluate whether the submission contains the factual content from the expert answer, I will follow these steps:
1. **Identify the Question**: The question asks for the name of the brand ambassador for the 'Beti Bachao Beti Padhao' campaign.
2. **Review the Expert Answer**: The expert response provides one specific... |
9 | You are a helpful AI assistant respond to the following questions based on the context provided.
who has been chosen as the brand ambassador of the campaign ' beti bachao-beti padhao |
... | ['Sakshi Malik'] | I | To evaluate whether the submission contains the content of the expert answer, I will follow these steps:
1. **Identify the Expert Answer**: The expert answer states that "Sakshi Malik" has been chosen as the brand ambassador of the 'Beti Bachao Beti Padhao' campaign.
2. **Examine the Submission**: The submitted answe... |
10 | You are a helpful AI assistant respond to the following questions based on the context provided.
where do characters live in this is us | Julio
... | ['Pittsburgh', 'Los Angeles', 'New Jersey', 'New York City'] | I | To evaluate the submitted answer against the expert answer, I will follow these steps:
1. **Identify the Expert Answer**: The expert answer lists several locations where characters in the show "This Is Us" live: Pittsburgh, Los Angeles, New Jersey, and New York City.
2. **Examine the Submission**: The submitted answe... |
YAML Metadata Warning:The task_ids "text-classification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
YAML Metadata Warning:The task_ids "medical-diagnosis" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
pminervini_NQ_Swap
Dataset Description
This dataset contains evaluation results for pminervini_NQ_Swap with label column org_answer, with various model performance metrics and samples.
Dataset Summary
The dataset contains original samples from the evaluation process, along with metadata like model names, input columns, and scores. This helps with understanding model performance across different tasks and datasets.
Features
- id: Unique identifier for the sample.
- user: User query/content.
- assistant: Assistant response.
- target: The expected output.
- score: Score of the assistant's response.
- explanation: Explanation of the score.
- input_column: Input column used in the original dataset.
- label_column: Label column in the original dataset.
- model_name: Name of the model used in evaluation.
- dataset_name: Name of the original dataset used.
Usage
This dataset can be used for:
- Evaluating model robustness across various tasks.
- Assessing potential biases in model responses.
- Model performance monitoring and analysis.
Citation
If you use this dataset, please cite: @misc{eval_dataset_pminervini_NQ_Swap, title={Evaluation Dataset for pminervini_NQ_Swap}, author={Gallifant, Jack}, year={2024}, publisher={Hugging Face} }
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