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mesolitica/mixtral-factual-QA

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Hugging Face2024-03-07 更新2024-06-22 收录
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资源简介:
Mixtral Factual QA数据集是基于多个来源的上下文生成问题和答案的数据集。数据来源包括maktabahalbakri.com、muftiwp.gov.my、asklegal.my等多个网站。数据集包含两个文件,分别有31253行和1108037行数据,文件大小分别为425 MB和10 GB。示例数据展示了问题和答案的格式,并提供了马来语和英语的翻译。

Mixtral Factual QA数据集是基于多个来源的上下文生成问题和答案的数据集。数据来源包括maktabahalbakri.com、muftiwp.gov.my、asklegal.my等多个网站。数据集包含两个文件,分别有31253行和1108037行数据,文件大小分别为425 MB和10 GB。示例数据展示了问题和答案的格式,并提供了马来语和英语的翻译。
提供机构:
mesolitica
原始信息汇总

Mixtral Factual QA 数据集概述

数据集基本信息

  • 许可证:Apache-2.0
  • 任务类别:问答(Question-Answering)
  • 语言:马来语(ms)、英语(en)

数据来源

数据集包含以下来源的上下文信息:

  1. maktabahalbakri.com
  2. muftiwp.gov.my
  3. asklegal.my
  4. dewanbahasa-jdbp
  5. gov.my
  6. patriots
  7. rootofscience
  8. majalahsains
  9. nasilemaktech
  10. alhijrahnews
  11. https://huggingface.co/datasets/open-phi/textbooks

数据文件

  • factually-wrong-qa-coding.jsonl:包含31253行,大小为425 MB
  • factually-wrong-qa.jsonl:包含1108037行,大小为10 GB

示例数据

示例数据包含以下字段:

  • doc:文档内容
  • question:问题
  • answer:答案
  • question_ms:马来语问题
  • answer_ms:马来语答案

示例数据内容如下: python { doc: "shift register, the parallel-in-serial-out (PISO) register, and the serial-in-parallel-out (SIPO) register. These registers are all based on the concept of a sequential circuit, which is a circuit that has a sequence of states and can be switched between them by applying appropriate inputs. - Shift Register: The shift register is a type of register that can shift its stored data by one bit at a time. It has a set of inputs, CLK (clock), SER (serial input), and RST (reset), and a set of outputs, Q0, Q1, Q2, etc. The CLK input controls when the register shifts its data, and the RST input resets the register to its initial state. The SER input allows for the serial input of data into the register. The truth table for a shift register is: | CLK | RST | SER | Q0 | Q1 | Q2 | ... | |-----|-----|-----|----|----|----|-----| | 0 | 0 | 0 | 0 | 0 | 0 | ... | | 0 | 0 | 1 | 0 | 0 | 0 | ... | | 1 | 0 | 0 | 1 | 0 | 0 | ... | | 1 | 0 | 1 | 0 | 1 | 0 | ... | | 0 | 1 | 0 | 0 | 0 | 0 | ... | | 0 | 1 | 1 | 0 | 0 | 0 | ... | | 1 | 1 | 0 | 0 | 0 | 0 | ... | | 1 | 1 | 1 | 0 | 0 | 0 | ... | | ... | ... | ... | ...| ...| ...| ... | - Parallel-In-Serial-Out (PISO) Register: The PISO register is a type of register that can transfer parallel data into a serial output. It has a set of inputs, CLK (clock), D0, D1, D2, etc. (parallel inputs), and RST (reset), and a set of outputs, Q (serial output). The CLK input controls when the register transfers its data, and the RST input resets the register to its initial state. The truth table for a PISO register is: | CLK | RST | D0 | D1 | D2 | ... | Q | |-----|-----|----|----|----|-----|---| | 0 | 0 | 0 | 0 | 0 | ... | 0 | | 0 | 0 | 1 | 0 | 0 | ... | 0 | | 1 | 0 | 0 | 1 | 0 | ... | 0 | | 1 | 0 | 1 | 0 | 1 | ... | 0 | | 0 | 1 | 0 | 0 | 0 | ... | 0 | | 0 | 1 | 1 | 0 | 0 | ... | 0 | | 1 | 1 | 0 | 0 | 0 | ... | 0 | | 1 | 1 | 1 | 0 | 0 | ... | 0 | | ... | ... | ...| ...| ...| ... |...| - Serial-In-Parallel-Out (SIPO) Register: The SIPO register is a type of register that can transfer serial data into parallel outputs. It has a set of inputs, CLK (clock), SER (serial input), and RST (reset), and a set of outputs, Q0, Q1, Q2, etc. (parallel outputs). The CLK input controls when the register transfers its data, and the RST input resets the register to its initial state. The SER input allows for the serial input of data into the register. The truth table for a SIPO register is: | CLK | RST | SER | Q0 | Q1 | Q2 | ... | |-----|-----|-----|----|----|----|-----| | 0 | 0 | 0 | 0 | 0 | 0 | ... | | 0 | 0 | 1 | 0 | 0 | 0 | ... | | 1 | 0 | 0 | 1 | 0 | 0 | ... | | 1 | 0 | 1 | 0 | 1 | 0 | ... | | 0 | 1 | 0 | 0 | 0 | 0 | ... | | 0 | 1 | 1 | 0 | 0 | 0 | ... | | 1 | 1 | 0 | 0 | 0 | 0 | ... | | 1 | 1 | 1 | 0 | 0 | 0 | ... | | ... | ... | ... | ...| ...| ...| ... | ### Conclusion In this chapter, we have explored the fundamentals of digital electronics. We have learned about the basic building blocks of digital circuits, such as logic gates, flip-flops, and registers. We have also discussed the importance of binary numbers and how they are used to represent and manipulate data in digital systems. Additionally, we have examined the design and implementation of combinational and sequential logic circuits, and how they can be used to perform various operations and tasks. Digital electronics is a rapidly evolving field, with new technologies and advancements being made every day. As such, it is important to continue learning and staying updated on the latest developments in this area. By understanding the fundamentals of digital electronics, you will be better equipped to design and analyze complex digital systems, and contribute to the advancement of this field. ### Exercises #### Exercise 1 Design a combinational logic circuit that takes in two 4-bit binary numbers and outputs their sum in binary form. #### Exercise 2 Implement a sequential logic circuit that counts from 0 to 7 and then repeats the sequence. #### Exercise 3 Research and compare the different types of flip-flops, including D, JK, T, and SR flip-flops. Explain their differences and when each type would be used. #### Exercise 4 Using Boolean algebra, simplify the following expression: $$(A + B)(A + \overline{B})(\overline{A} + B)$$ #### Exercise 5 Design a circuit that takes in a 3-bit binary number and outputs its equivalent in Gray code. ### Conclusion In this chapter, we have explored the fundamentals of digital electronics. We have learned about the basic building blocks of digital circuits, such as logic gates, flip-flops, and registers. We have also discussed the importance of binary numbers and how they are used to represent and manipulate data in digital systems. Additionally, we have examined the design and implementation of combinational and sequential logic circuits, and how they can be used to perform various operations and tasks. Digital electronics is a rapidly evolving field, with new technologies and advancements being made every day. As such, it is important to continue learning and staying updated on the latest developments in this area. By understanding the fundamentals of digital electronics, you will be better equipped to design and analyze complex digital systems, and contribute to the advancement of this field. ### Exercises #### Exercise 1 Design a combinational logic circuit that takes in two 4-bit binary numbers and outputs their sum in binary form. #### Exercise 2 Implement a sequential logic circuit that counts from 0 to 7 and then repeats the sequence. #### Exercise 3 Research and compare the different types of flip-flops, including D, JK, T, and SR flip-flops. Explain their differences and when each type would be used. #### Exercise 4 Using Boolean algebra, simplify the following expression: $$(A + B)(A + \overline{B})(\overline{A} + B)$$ #### Exercise 5 Design a circuit that takes in a 3-bit binary number and outputs its equivalent in Gray code. ## Chapter: Fundamentals of Circuits and Electronics ### Introduction In this chapter, we will explore the fundamentals of communication systems. Communication systems are an integral part of our daily lives, allowing us to connect with others and access information from around the world. These systems rely on the principles of circuits and electronics to transmit and receive signals, making them an essential topic to understand in the field of electrical engineering. We will begin by discussing the basic components of a communication system, including transmitters, receivers, and channels. We will then delve into the principles of modulation, which is the process of encoding information onto a carrier signal for transmission. This will include an in-depth look at amplitude modulation (AM), frequency modulation (FM), and phase modulation (PM). Next, we will explore the concept of noise and its impact on communication systems. We will discuss various techniques for reducing noise and improving the quality of transmitted signals. This will include error correction codes, equalization, and diversity techniques. Finally, we will examine different types of communication systems, such as analog and digital systems, and their applications in various industries. We will also touch on emerging technologies, such as wireless communication and satellite communication, and their impact on modern communication systems. By the end of this chapter, you will have a solid understanding of the fundamentals of communication systems and how they are used in our daily lives. This knowledge will serve as a foundation for further exploration into more advanced topics in the field of circuits and electronics. So lets dive in and discover the exciting world of communication systems! ## Chapter 19: Communication Systems: ### Section 19.1: Modulation Techniques Modulation is the process of encoding information onto a carrier signal for transmission. This is a crucial step in communication systems, as it allows for the efficient and reliable transfer of information over long distances. In this section, we will explore the different types of modulation techniques and their applications in communication systems. #### Amplitude Modulation (AM) Amplitude modulation is a type of modulation where the amplitude of the carrier signal is varied in accordance with the information being transmitted. This is achieved by multiplying the carrier signal with the information signal, resulting in a modulated signal that contains both the carrier and information signals. The modulated signal is then transmitted through a channel to the receiver, where it is demodulated to extract the original information signal. AM is commonly used in radio broadcasting, where the carrier signal is a high-frequency electromagnetic wave and the information signal is an audio signal. The amplitude of the carrier wave is varied to match the amplitude of the audio signal, resulting in a modulated signal that can be transmitted over long distances without significant loss of quality. #### Frequency Modulation (FM) Frequency modulation is a type of modulation where the frequency of the carrier signal is varied in accordance with the information being transmitted. This is achieved by changing the frequency of the carrier signal in proportion to the amplitude of the information signal. The modulated signal is then transmitted through a channel to the receiver, where it is demodulated to extract the original information signal. FM is commonly used in radio broadcasting, particularly for high-fidelity music transmission. Unlike AM, FM is less susceptible to noise and interference, making it a preferred choice for high-quality audio transmission. #### Phase Modulation (PM) Phase modulation is a type of modulation where the phase of the carrier signal is varied in accordance with the information being transmitted. This is achieved by changing the phase of the carrier signal in proportion to the amplitude of the information signal. The modulated signal is then transmitted through a channel to the receiver, where it is demodulated to extract the original information signal. PM is commonly used in digital communication systems, such as satellite communication and wireless communication. It is also used in some analog systems, particularly in high-frequency applications. ### Noise in Communication Systems Noise is an unwanted disturbance that can affect the quality of a transmitted signal. It can be caused by various factors, such as electromagnetic interference, thermal noise, and channel distortion. In communication systems, noise can cause errors in the received signal, leading to a loss of information. To combat noise, various techniques are used, such as error correction codes, equalization, and diversity techniques. Error correction codes add redundancy to the transmitted signal, allowing for the detection and correction of errors at the receiver. Equalization techniques are used to compensate for channel distortion, while diversity techniques use multiple channels to transmit the same information, reducing the impact", question: Why is amplitude modulation more susceptible to noise and interference compared to frequency modulation?, answer: Amplitude modulation (AM) is more susceptible to noise and interference compared to frequency modulation (FM) because the amplitude of the carrier wave in AM is varied to match the amplitude of the audio signal. This means that any noise or interference present in the channel will also be amplified, leading to a loss of quality in the received signal.

In contrast, FM varies the frequency of the carrier signal in proportion to the amplitude of the information signal. This means that any noise or interference present in the channel will result in a slight shift in the frequency of the carrier signal, but the overall amplitude of the signal will remain relatively constant. This makes FM less susceptible to noise and interference compared to AM, particularly in high-fidelity music transmission.

Furthermore, FM modulation has a higher signal-to-noise ratio compared to AM modulation. The signal-to-noise ratio is the ratio of the power of the signal to the power of the noise. A higher signal-to-noise ratio means that the signal is stronger compared to the noise, resulting in a clearer and more reliable transmission. FM has a wider bandwidth compared to AM, allowing it to transmit a stronger signal and reducing the impact of noise and interference.

Overall, FM is a more robust modulation technique compared to AM, particularly in high-fidelity music transmission. However, AM is still commonly used in radio broadcasting due to its simplicity and lower bandwidth requirements., question_ms: Mengapa modulasi amplitud lebih terdedah kepada hingar dan gangguan berbanding dengan modulasi frekuensi?, answer_ms: Modulasi amplitud (AM) lebih mudah terdedah kepada hingar dan gangguan berbanding dengan modulasi frekuensi (FM) kerana amplitud gelombang pembawa dalam AM diubah untuk sepadan dengan amplitud isyarat audio. Ini bermakna bahawa sebarang bunyi atau gangguan yang terdapat dalam saluran juga akan dikuatkan, yang membawa kepada kehilangan kualiti dalam isyarat yang diterima.

Sebaliknya, FM mengubah kekerapan isyarat pembawa mengikut kadar amplitud isyarat maklumat. Ini bermakna bahawa sebarang bunyi atau gangguan yang terdapat dalam saluran akan mengakibatkan perubahan sedikit dalam kekerapan isyarat pembawa, tetapi amplitud keseluruhan isyarat akan kekal secara relatifnya. Ini menjadikan FM kurang terdedah kepada hingar dan gangguan berbanding AM, terutamanya dalam penghantaran muzik kesetiaan tinggi.

Tambahan pula, modulasi FM mempunyai nisbah isyarat-ke-bunyi yang lebih tinggi berbanding modulasi AM. Nisbah isyarat kepada hingar ialah nisbah kuasa isyarat kepada kuasa bunyi. Nisbah isyarat-ke-bunyi yang lebih tinggi bermakna isyarat itu lebih kuat berbanding dengan hingar, menghasilkan penghantaran yang lebih jelas dan lebih dipercayai. FM mempunyai lebar jalur yang lebih luas berbanding AM, membolehkannya menghantar isyarat yang lebih kuat dan mengurangkan kesan hingar dan gangguan.

Secara keseluruhan, FM ialah teknik modulasi yang lebih mantap berbanding AM, terutamanya dalam penghantaran muzik kesetiaan tinggi. Walau bagaimanapun, AM masih biasa digunakan dalam penyiaran radio kerana kesederhanaan dan keperluan jalur lebar yang lebih rendah. }

数据集用途

该数据集用于生成基于提供的上下文的问答对,适用于问答系统的训练和评估。

搜集汇总
数据集介绍
main_image_url
构建方式
在自然语言处理领域,高质量问答数据集的构建是提升模型事实推理能力的关键。Mixtral Factual QA 数据集通过整合来自多个权威知识源的内容,包括 maktabahalbakri.com、muftiwp.gov.my、asklegal.my、dewanbahasa-jdbp、gov.my、patriots、rootofscience、majalahsains、nasilemaktech、alhijrahnews 以及 open-phi/textbooks 等,构建了丰富的上下文语境。基于这些语境,利用 Mixtral 模型自动生成问题和答案,最终形成包含超过 110 万条记录的大规模问答对。数据集以 JSONL 格式存储,分为 factually-wrong-qa-coding.jsonl 和 factually-wrong-qa.jsonl 两个文件,分别涵盖编码相关和通用领域的问题。
使用方法
用户可通过 Hugging Face Datasets 库直接加载该数据集,使用 load_dataset('mesolitica/mixtral-factual-QA') 即可获取。数据集适用于微调问答模型、训练事实性推理系统以及评估生成式语言模型的知识准确性。建议在使用前对短答案进行过滤,以剔除潜在的不准确条目。数据以 JSONL 格式提供,每行包含 'doc'(上下文)、'question'(英文问题)、'answer'(英文答案)、'question_ms'(马来文问题)和 'answer_ms'(马来文答案)字段,便于直接用于训练或评估。
背景与挑战
背景概述
在自然语言处理领域,高质量、领域特定的事实性问答数据集对于训练可靠的语言模型至关重要。由马来西亚研究团队mesolitica于近期创建的Mixtral Factual QA数据集,旨在填补马来语及英语双语环境下事实性问答资源的空白。该数据集整合了来自maktabahalbakri.com、muftiwp.gov.my、asklegal.my等十余个权威来源的上下文,涵盖宗教、法律、政府、科学及教育等多个专业领域。通过利用Mixtral模型自动生成问答对,该数据集为多语言问答系统、尤其是低资源语言的研究提供了宝贵资源,其超过110万条的数据规模对推动东南亚地区自然语言处理技术的发展具有显著影响力。
当前挑战
该数据集面临的核心挑战首先在于事实准确性保障:自动生成的问答对可能存在事实性错误或逻辑偏差,尤其是涉及法律、宗教等敏感领域时,错误信息可能引发严重误导。其次,数据构建过程中的质量过滤机制尚不完善,README明确指出需过滤短答案以避免编码类不准确结果,但缺乏自动化验证流程。此外,多语言一致性维护困难,马来语与英语问答对的语义对齐、翻译准确性及文化适应性均需人工审核。最后,数据来源的权威性与时效性难以统一,不同网站的更新频率差异可能导致知识过时,影响模型输出的可靠性。
常用场景
经典使用场景
在自然语言处理与知识工程交汇的领域中,mesolitica/mixtral-factual-QA数据集为构建基于上下文的问答系统提供了高质量的语料资源。其经典使用场景在于利用涵盖法律、宗教、科学、教育等多领域的马来语和英语文本片段,通过Mixtral模型自动生成事实性问答对,从而支撑检索增强生成(RAG)架构的微调与评估。研究者可借助该数据集训练模型精准定位给定段落中的关键信息,并生成忠实于原文的答案,这为低资源语言(如马来语)的问答任务奠定了坚实的数据基础。
解决学术问题
该数据集直面学术研究中事实性问答对构建成本高昂、领域覆盖狭窄的困境,尤其针对马来语等低资源语言缺乏大规模高质量标注数据的痛点。它通过自动化流水线从权威来源(如政府门户、宗教教令网站、法律咨询平台)抽取上下文,并利用Mixtral模型生成问题与答案,显著降低了人工标注的依赖。此举解决了跨领域事实问答中数据稀疏性与领域偏移的挑战,为研究者在多语言、多领域场景下探索模型的事实一致性、推理能力与抗噪声鲁棒性提供了可靠的实验平台,推动了知识驱动的自然语言理解研究。
实际应用
在实际部署中,该数据集赋能了智能客服、法律咨询辅助、教育辅导及宗教知识检索等系统的开发。例如,基于其语料微调的模型可嵌入政府服务网站,自动回答公民关于政策法规的常见问题;或集成至教育平台,针对科学教材段落生成即时解析与练习题。此外,在新闻事实核查与信息验证场景中,该数据集训练的问答引擎能够快速从权威文档中提取证据,辅助用户辨别网络信息真伪,展现了从学术研究到产业落地的桥梁作用。
数据集最近研究
最新研究方向
在低资源语言与领域知识密集型问答的交叉前沿,mesolitica/mixtral-factual-QA数据集开辟了基于事实性上下文自动生成问答对的新范式。该数据集整合了马来西亚伊斯兰教法、法律、科技及教育等多源权威语料,通过Mixtral模型驱动的大规模生成与人工校验,构建了超过百万条的高质量双语问答样本。这一研究方向紧扣多语言自然语言处理中事实一致性与知识迁移的热点挑战,尤其针对马来语等低资源语言的问答系统性能瓶颈,提供了兼具广度与深度的训练资源。其意义在于推动东南亚语言在司法、宗教与科学领域的智能问答应用落地,并为跨领域事实性问答的鲁棒性与可解释性研究奠定了坚实的数据基础。
以上内容由遇见数据集搜集并总结生成
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