chargoddard/WebInstructSub-prometheus
收藏资源简介：
--- language: - en license: apache-2.0 size_categories: - 1M<n<10M dataset_info: features: - name: instruction dtype: string - name: generation dtype: string - name: model_name dtype: string - name: feedback dtype: string - name: result dtype: int64 splits: - name: train num_bytes: 5133062799 num_examples: 2393650 download_size: 2513481071 dataset_size: 5133062799 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for WebInstructSub-prometheus This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary [TIGER-Lab/WebInstructSub](https://huggingface.co/datasets/TIGER-Lab/WebInstructSub?row=1) evaluated for logical and effective reasoning using [prometheus-7b-v2.0](https://huggingface.co/prometheus-eval/prometheus-7b-v2.0). This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/chargoddard/WebInstructSub-prometheus/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/chargoddard/WebInstructSub-prometheus/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "feedback": "The response provided a logical explanation for the discrepancy between the two formulas, demonstrating a strong understanding of the subject matter. The respondent correctly identified that both formulas are mathematically equivalent and should yield the same result. Furthermore, the response effectively corrected the computation error, showing the ability to apply logical principles to resolve complex issues. The clear and coherent explanation, combined with the correct calculation, demonstrates advanced reasoning abilities that are in line with the score rubric\u0027s criteria. So the overall score is 5.", "generation": "There\u0027s no discrepancy between the two formulas; both are mathematically equivalent and should give the same result. The error lies in the calculation. Let\u0027s correct the computation for the second formula:\n\nRt = (Ra * Rb) / (Ra + Rb) \nRt = (100 \u03a9 * 220 \u03a9) / (100 \u03a9 + 220 \u03a9) \nRt = 22000 \u03a9 / 320 \u03a9 \nRt \u2248 68.75 \u03a9 \n\nAs you can see, both methods correctly yield approximately 68.75 \u03a9. The issue was likely a miscalculation or incorrect input in your original attempt. Remember, the two formulas are indeed equivalent, and you can use either to calculate the total resistance in a parallel circuit with two resistors.", "instruction": "When two resistors are connected in parallel, the total resistance, Rt, can be calculated using the formula: Rt = 1/G, where G is the sum of the reciprocals of the individual resistances (G = 1/Ra + 1/Rb). However, for two resistors specifically, my book also provides the formula: Rt = (Ra * Rb) / (Ra + Rb). I noticed that applying these formulas with Ra = 100 \u03a9 and Rb = 220 \u03a9 gives different results: 68.75 \u03a9 using the first formula and 66.67 \u03a9 using the second. Can you explain the discrepancy and correct the error if there is one?", "model_name": "prometheus-eval/prometheus-7b-v2.0", "result": 5 } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("chargoddard/WebInstructSub-prometheus", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("chargoddard/WebInstructSub-prometheus") ``` </details>
数据集卡片 for WebInstructSub-prometheus
数据集概述
TIGER-Lab/WebInstructSub 用于评估逻辑和有效推理，使用 prometheus-7b-v2.0。
数据集结构
数据集包含以下特征：
instruction: 字符串类型generation: 字符串类型model_name: 字符串类型feedback: 字符串类型result: 整数类型
数据集分为以下部分：
train部分：包含 2393650 个样本，总大小为 5133062799 字节
数据集的下载大小为 2513481071 字节，数据集总大小为 5133062799 字节。
数据集包含一个默认配置：
default配置：包含train部分，路径为data/train-*
数据集标签包括：
syntheticdistilabelrlaif
数据集示例结构如下：
json { "feedback": "The response provided a logical explanation for the discrepancy between the two formulas, demonstrating a strong understanding of the subject matter. The respondent correctly identified that both formulas are mathematically equivalent and should yield the same result. Furthermore, the response effectively corrected the computation error, showing the ability to apply logical principles to resolve complex issues. The clear and coherent explanation, combined with the correct calculation, demonstrates advanced reasoning abilities that are in line with the score rubrics criteria. So the overall score is 5.", "generation": "Theres no discrepancy between the two formulas; both are mathematically equivalent and should give the same result. The error lies in the calculation. Lets correct the computation for the second formula:
Rt = (Ra * Rb) / (Ra + Rb)
Rt = (100 Ω * 220 Ω) / (100 Ω + 220 Ω)
Rt = 22000 Ω / 320 Ω
Rt ≈ 68.75 Ω
As you can see, both methods correctly yield approximately 68.75 Ω. The issue was likely a miscalculation or incorrect input in your original attempt. Remember, the two formulas are indeed equivalent, and you can use either to calculate the total resistance in a parallel circuit with two resistors.", "instruction": "When two resistors are connected in parallel, the total resistance, Rt, can be calculated using the formula: Rt = 1/G, where G is the sum of the reciprocals of the individual resistances (G = 1/Ra + 1/Rb). However, for two resistors specifically, my book also provides the formula: Rt = (Ra * Rb) / (Ra + Rb). I noticed that applying these formulas with Ra = 100 Ω and Rb = 220 Ω gives different results: 68.75 Ω using the first formula and 66.67 Ω using the second. Can you explain the discrepancy and correct the error if there is one?", "model_name": "prometheus-eval/prometheus-7b-v2.0", "result": 5 }
数据集可以通过以下方式加载：
python from datasets import load_dataset
ds = load_dataset("chargoddard/WebInstructSub-prometheus", "default")
或者简化为：
python from datasets import load_dataset
ds = load_dataset("chargoddard/WebInstructSub-prometheus")
