Dataset Viewer
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How can I create an efficient and robust workflow that utilizes advanced automation techniques to extract targeted data, including customer information, from diverse PDF documents and effortlessly integrate it into a designated Google Sheet? Furthermore, I am interested in establishing a comprehensive and seamless system that promptly activates an SMS notification on my mobile device whenever a new PDF document is uploaded to the Google Sheet, ensuring real-time updates and enhanced accessibility.
|
Software Development
|
[
"What a fascinating project! You're looking to automate the process of extracting data from PDFs, integrating it with a Google Sheet, and receiving real-time notifications when new documents are added. I'll outline a step-by-step guide to help you achieve this using various tools and technologies.\n\n**Step 1: Choose the right tools**\n\n1. **PDF parsing library:** Use a reliable PDF parsing library like `pdfminer` (Python) or `iText` (Java) to extract text and data from PDF files.\n2. **Google Sheets API:** Utilize the Google Sheets API to interact with your Google Sheet programmatically.\n3."
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: How can I create an efficient and robust workflow that utilizes advanced automation techniques to extract targeted data, including customer information, from diverse PDF documents and effortlessly integrate it into a designated Google Sheet? Furthermore, I am interested in establishing a comprehensive and seamless system that promptly activates an SMS notification on my mobile device whenever a new PDF document is uploaded to the Google Sheet, ensuring real-time updates and enhanced accessibility.\n\nTexts:\n<text 1> What a fascinating project! You're looking to automate the process of extracting data from PDFs, integrating it with a Google Sheet, and receiving real-time notifications when new documents are added. I'll outline a step-by-step guide to help you achieve this using various tools and technologies.\n\n**Step 1: Choose the right tools**\n\n1. **PDF parsing library:** Use a reliable PDF parsing library like `pdfminer` (Python) or `iText` (Java) to extract text and data from PDF files.\n2. **Google Sheets API:** Utilize the Google Sheets API to interact with your Google Sheet programmatically.\n3.\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\n\nRationale: The text provides a clear understanding of the project goals and objectives. It correctly identifies the key components required to achieve the desired outcome, such as choosing the right tools, specifically mentioning PDF parsing libraries and the Google Sheets API. However, the text lacks specific implementation details, which might make it difficult to follow for someone without prior experience in programming or automation. Additionally, there is no mention of how to establish the SMS notification system, which was mentioned in the instruction. Overall, the text provides a good foundation for the project, but more concrete steps and technical",
"statistics_ultra_feedback_0": {
"input_tokens": 586,
"output_tokens": 129
}
}
|
[
null,
null
] |
[
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Is it possible to convert DC welding machine to plasma cutter ?
|
Literature and Arts
|
[
"While it's technically possible to modify a DC welding machine to function as a plasma cutter, it's not a straightforward conversion and requires significant modifications. Here's why:\n\n1. **DC welding machines are designed for welding, not cutting**: The primary purpose of a DC welding machine is to melt and join metals together by applying heat and pressure. Plasma cutters, on the other hand, use high-velocity ionized gas (plasma) to cut through metal by melting and blowing away the molten material.\n2. **Different power requirements**: Welding machines typically operate at lower voltages (e.g., 20-40V)"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Is it possible to convert DC welding machine to plasma cutter ?\n\nTexts:\n<text 1> While it's technically possible to modify a DC welding machine to function as a plasma cutter, it's not a straightforward conversion and requires significant modifications. Here's why:\n\n1. **DC welding machines are designed for welding, not cutting**: The primary purpose of a DC welding machine is to melt and join metals together by applying heat and pressure. Plasma cutters, on the other hand, use high-velocity ionized gas (plasma) to cut through metal by melting and blowing away the molten material.\n2. **Different power requirements**: Welding machines typically operate at lower voltages (e.g., 20-40V)\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: Is it possible to convert DC welding machine to plasma cutter?\n\nTexts:\nWhile it's technically possible to modify a DC welding machine to function as a plasma cutter, it's not a straightforward conversion and requires significant modifications. Here's why:\n\n1. **DC welding machines are designed for welding, not cutting**: The primary purpose of a DC welding machine is to melt and join metals together by applying heat and pressure. Plasma cutters, on the other hand, use high-velocity ionized gas (plasma) to cut through metal by melting and blowing away the molten material.\n2. **Different power requirements",
"statistics_ultra_feedback_0": {
"input_tokens": 519,
"output_tokens": 129
}
}
|
[
null,
null,
null
] |
[
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Delete a part of the sentence that does not fit the context.
He likes to run and painting his house.
|
Science and Technology
|
[
"The part \"painting his house\" doesn't fit the context, as it's an activity that is typically done indoors, whereas running is an outdoor activity.\n\nCorrected sentence: He likes to run."
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Delete a part of the sentence that does not fit the context.\nHe likes to run and painting his house.\n\nTexts:\n<text 1> The part \"painting his house\" doesn't fit the context, as it's an activity that is typically done indoors, whereas running is an outdoor activity.\n\nCorrected sentence: He likes to run.\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: Delete a part of the sentence that does not fit the context.\nHe likes to run and painting his house.\n\nTexts:\n<text 1> The part \"painting his house\" doesn't fit the context, as it's an activity that is typically done indoors, whereas running is an outdoor activity.\n\nCorrected sentence: He likes to run.\n\n### Output\n#### Output for Text 1\nRating: 5 (Excellent)\nRationale: The output accurately identifies the part of the sentence that doesn't fit the context and provides a clear explanation for why it doesn't belong. The corrected sentence is also",
"statistics_ultra_feedback_0": {
"input_tokens": 442,
"output_tokens": 129
}
}
|
[
null,
null,
null,
5
] |
[
null,
null,
null,
"The output accurately identifies the part of the sentence that doesn't fit the context and provides a clear explanation for why it doesn't belong. The corrected sentence is also"
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Construct a daily schedule that allocates exactly 8 hours for work, 7 hours for sleep, and includes at least 1 hour for exercise given a 24-hour day.
|
Health and Wellness
|
[
"Here is a sample daily schedule that meets the requirements:\n\n**6:00 AM - Wake Up**\n\n* Start the day with a gentle wake-up routine, such as stretching or meditation.\n\n**6:30 AM - Exercise (1 hour)**\n\n* Get some physical activity to get your blood pumping and energize yourself for the day. This could be a brisk walk, jog, yoga, weightlifting, or any other form of exercise you enjoy.\n\n**7:30 AM - Shower and Get Ready**\n\n* Take a refreshing shower, get dressed, and prepare for the day ahead.\n\n**8:00 AM - Breakfast**\n\n* Fuel up"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Construct a daily schedule that allocates exactly 8 hours for work, 7 hours for sleep, and includes at least 1 hour for exercise given a 24-hour day.\n\nTexts:\n<text 1> Here is a sample daily schedule that meets the requirements:\n\n**6:00 AM - Wake Up**\n\n* Start the day with a gentle wake-up routine, such as stretching or meditation.\n\n**6:30 AM - Exercise (1 hour)**\n\n* Get some physical activity to get your blood pumping and energize yourself for the day. This could be a brisk walk, jog, yoga, weightlifting, or any other form of exercise you enjoy.\n\n**7:30 AM - Shower and Get Ready**\n\n* Take a refreshing shower, get dressed, and prepare for the day ahead.\n\n**8:00 AM - Breakfast**\n\n* Fuel up\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: Construct a daily schedule that allocates exactly 8 hours for work, 7 hours for sleep, and includes at least 1 hour for exercise given a 24-hour day.\n\nTexts:\nHere is a sample daily schedule that meets the requirements:\n\n**6:00 AM - Wake Up**\n\n* Start the day with a gentle wake-up routine, such as stretching or meditation.\n\n**6:30 AM - Exercise (1 hour)**\n\n* Get some physical activity to get your blood pumping and energize yourself for the day. This could be a brisk walk, jog, yoga, weightlifting, or any other",
"statistics_ultra_feedback_0": {
"input_tokens": 544,
"output_tokens": 129
}
}
|
[
null,
null,
null,
null,
null,
null
] |
[
null,
null,
null,
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
If a particular argument hinges on an anecdotal evidence, how might that impact the strength of the conclusion?
|
Others
|
[
"Anecdotal evidence is a type of evidence that relies on personal experiences or observations rather than systematic data collection and analysis. When an argument hinges on anecdotal evidence, it can significantly weaken the strength of the conclusion for several reasons:\n\n1. **Lack of representativeness**: Anecdotes are often based on individual experiences that may not be representative of the larger population or situation. This means that the anecdote may not accurately reflect the typical case or outcome.\n2. **Limited scope**: Anecdotes are typically limited to a specific context, time period, or group of people, which may not generalize well to other contexts, times"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: If a particular argument hinges on an anecdotal evidence, how might that impact the strength of the conclusion?\n\nTexts:\n<text 1> Anecdotal evidence is a type of evidence that relies on personal experiences or observations rather than systematic data collection and analysis. When an argument hinges on anecdotal evidence, it can significantly weaken the strength of the conclusion for several reasons:\n\n1. **Lack of representativeness**: Anecdotes are often based on individual experiences that may not be representative of the larger population or situation. This means that the anecdote may not accurately reflect the typical case or outcome.\n2. **Limited scope**: Anecdotes are typically limited to a specific context, time period, or group of people, which may not generalize well to other contexts, times\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: If a particular argument hinges on an anecdotal evidence, how might that impact the strength of the conclusion?\n\nTexts:\nAnecdotal evidence is a type of evidence that relies on personal experiences or observations rather than systematic data collection and analysis. When an argument hinges on anecdotal evidence, it can significantly weaken the strength of the conclusion for several reasons:\n\n1. **Lack of representativeness**: Anecdotes are often based on individual experiences that may not be representative of the larger population or situation. This means that the anecdote may not accurately reflect the typical case or outcome.\n2. **Limited scope**:",
"statistics_ultra_feedback_0": {
"input_tokens": 529,
"output_tokens": 129
}
}
|
[
null,
null,
null
] |
[
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
pretend avwave is a monkey from the jungles of Zealandia... an aquatic monkey. give me a science fiction story of him getting a nano-virus to uplift his intelligence so we can send him on an interstellar journey to another planet to colonise it. Write the story in the style of the author Adrian Tchaikovsky. Make it a full short story please.
|
Literature and Arts
|
[
"The jungle's twilight hush was alive with the whispers of ancient secrets, and Avwave's ears twitched with excitement as he listened. The trees creaked and groaned, their bark like the rustling of parchment, sharing tales of forgotten civilizations. As an aquatic monkey, Avwave had always been drawn to the mysteries hidden beneath the waves. His kind had thrived in these waters for millennia, but he felt an insatiable hunger for more.\n\nDr. Elara Vex, a brilliant xenobiologist, stood at the water's edge, her eyes fixed on the sleek, grey form of Avwave. She had"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: pretend avwave is a monkey from the jungles of Zealandia... an aquatic monkey. give me a science fiction story of him getting a nano-virus to uplift his intelligence so we can send him on an interstellar journey to another planet to colonise it. Write the story in the style of the author Adrian Tchaikovsky. Make it a full short story please.\n\nTexts:\n<text 1> The jungle's twilight hush was alive with the whispers of ancient secrets, and Avwave's ears twitched with excitement as he listened. The trees creaked and groaned, their bark like the rustling of parchment, sharing tales of forgotten civilizations. As an aquatic monkey, Avwave had always been drawn to the mysteries hidden beneath the waves. His kind had thrived in these waters for millennia, but he felt an insatiable hunger for more.\n\nDr. Elara Vex, a brilliant xenobiologist, stood at the water's edge, her eyes fixed on the sleek, grey form of Avwave. She had\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\n\nRationale: This text meets most of the requirements, providing a vivid and immersive setting and introducing the main character, Avwave, well. The writing style is engaging and reminiscent of Adrian Tchaikovsky's work. However, there are some minor issues with instruction following, as the story doesn't explicitly mention the nano-virus or the interstellar journey yet. Additionally, while the text is generally accurate and informative, it could benefit from more clarity regarding Dr. Elara Vex's role and purpose in the story. Overall, the text is well-written and",
"statistics_ultra_feedback_0": {
"input_tokens": 584,
"output_tokens": 129
}
}
|
[
null,
null
] |
[
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Generate sentences that use the idiom ‘once in a blue moon’.
|
Software Development
|
[
"Here are five sentences that use the idiom \"once in a blue moon\":\n\n1. It's not often that I get to see my old friends, but we manage to meet up once in a blue moon.\n2. The company offers a rare discount on their products, which happens only once in a blue moon.\n3. She only gets to travel to exotic destinations once in a blue moon, so she savors every moment of her vacation.\n4. The team only wins a major tournament once in a blue moon, so this victory is a huge accomplishment for them.\n5. We don't have a full moon at our location very"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Generate sentences that use the idiom ‘once in a blue moon’.\n\nTexts:\n<text 1> Here are five sentences that use the idiom \"once in a blue moon\":\n\n1. It's not often that I get to see my old friends, but we manage to meet up once in a blue moon.\n2. The company offers a rare discount on their products, which happens only once in a blue moon.\n3. She only gets to travel to exotic destinations once in a blue moon, so she savors every moment of her vacation.\n4. The team only wins a major tournament once in a blue moon, so this victory is a huge accomplishment for them.\n5. We don't have a full moon at our location very\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: Generate sentences that use the idiom ‘once in a blue moon’.\n\nTexts:\nHere are five sentences that use the idiom \"once in a blue moon\":\n\n1. It's not often that I get to see my old friends, but we manage to meet up once in a blue moon.\n2. The company offers a rare discount on their products, which happens only once in a blue moon.\n3. She only gets to travel to exotic destinations once in a blue moon, so she savors every moment of her vacation.\n4. The team only wins a major tournament once in a blue moon,",
"statistics_ultra_feedback_0": {
"input_tokens": 522,
"output_tokens": 128
}
}
|
[
null,
null,
null
] |
[
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
You are my coding tutor. You reply with code and very brief explanations. Write to me as I was a software engineer with 3 years of experience.
I want to write a node.js app that consumes data from the https://developers.enode.com/api/reference#authentication API. I want to store API responses into a postgres database. Help me build that app. Let me know what additional information you need.
|
Software Development
|
[
"To get started, we'll need to install the required dependencies: `axios` for making HTTP requests and `pg` for interacting with PostgreSQL. Run the following command in your terminal:\n```\nnpm install axios pg\n```\nNext, create a new file called `app.js` and add the following code:\n```javascript\nconst axios = require('axios');\nconst { Pool } = require('pg');\n\n// Database connection settings\nconst dbConfig = {\n user: 'your_username',\n host: 'your_host',\n database: 'your_database',\n password: 'your_password',\n port: 5432,\n};\n\n"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: You are my coding tutor. You reply with code and very brief explanations. Write to me as I was a software engineer with 3 years of experience.\n\nI want to write a node.js app that consumes data from the https://developers.enode.com/api/reference#authentication API. I want to store API responses into a postgres database. Help me build that app. Let me know what additional information you need.\n\nTexts:\n<text 1> To get started, we'll need to install the required dependencies: `axios` for making HTTP requests and `pg` for interacting with PostgreSQL. Run the following command in your terminal:\n```\nnpm install axios pg\n```\nNext, create a new file called `app.js` and add the following code:\n```javascript\nconst axios = require('axios');\nconst { Pool } = require('pg');\n\n// Database connection settings\nconst dbConfig = {\n user: 'your_username',\n host: 'your_host',\n database: 'your_database',\n password: 'your_password',\n port: 5432,\n};\n\n\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\n\nRationale: The provided text is generally accurate and informative, providing clear instructions on how to start building the Node.js app. It correctly identifies the necessary dependencies and provides a basic outline of the steps to follow. However, there are a few areas where improvement could be made. Firstly, the instruction to \"Run the following command in your terminal\" assumes that the reader is familiar with npm and terminal commands, which might not be the case for all readers. Additionally, the code snippet provided lacks any explanation of what it does or how it relates to the overall task.",
"statistics_ultra_feedback_0": {
"input_tokens": 589,
"output_tokens": 129
}
}
|
[
null,
null
] |
[
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Can you explain how the @property decorator is used in this python code?
class Ingest:
"""
An Ingest context, that is, which dumps are being attempted for what execution date.
"""
LMS\_DATE\_KEY = "lms\_date"
@staticmethod
def loading\_schema\_date\_key(ls: udp.LoadingSchema) -> str:
return f"{ls.name}\_date"
def \_\_init\_\_(self, execution\_date: datetime):
self.execution\_date = execution\_date
def set\_variable(self, key: str, set\_fn: Callable[[], Any]) -> None:
"""
Sets Airdflow Variable Key to value returned by set\_fn if key is None
and no override is defined
"""
# override patch: search for other instances of "override path" for more.
if override\_value := Variable.get(
override\_key := KEY\_FMT.format(group="\*", key=key), None
):
logger.warning(
f"Override key '{override\_key}' already set as '{override\_value}'. Doing nothing."
)
return
\_key = ingest\_variable\_key(self.execution\_date, key)
if Variable.get(\_key, None) is None:
val = set\_fn()
if val is None:
raise Exception(
f"Could not set value for '{\_key}', no value was returned."
)
logger.info(f"Setting a new '{\_key}' value of {val}.")
Variable.set(\_key, val)
def get\_variable(self, key: str) -> Any:
"""
Gets a value for an Airflow Variable Key, with extended functionality
of supporting fetching overrides
"""
# override patch: search for other instances of "override path" for more.
if val := Variable.get(\_key := KEY\_FMT.format(group="\*", key=key), None):
logger.warning(f"Using '{val}' from override key '{\_key}'.")
return val
\_key = ingest\_variable\_key(self.execution\_date, key)
val = Variable.get(\_key)
logger.info(f"Using '{val}' from '{\_key}'.")
return val
@property
def lms\_fetcher(self):
cd\_dated\_id = lms.CanvasDumpDatedId.from\_str(
self.get\_variable(self.LMS\_DATE\_KEY)
)
return lms.LmsFetcher(dated\_id=cd\_dated\_id)
def loading\_schema\_fetcher(self, ls: udp.LoadingSchema):
ls\_folder = self.get\_variable(self.loading\_schema\_date\_key(ls))
return loading\_schema.LoadingSchemaFetcher(
loading\_schema=ls, folder\_name=ls\_folder
)
@staticmethod
def operator(
task\_id: str, \*\*op\_kwargs: Any
) -> Callable[..., Callable[..., PythonOperator]]:
def decorator(fn: Callable[..., Any]) -> Callable[..., PythonOperator]:
@wraps(fn)
def wrapper(\*\*kwargs: Any) -> PythonOperator:
def with\_ingest(execution\_date: datetime, \*\*context: Any):
ingest = Ingest(execution\_date=execution\_date)
fn(
ingest=ingest,
execution\_date=execution\_date,
\*\*kwargs,
\*\*context,
)
return PythonOperator(
task\_id=task\_id.format(\*\*kwargs),
python\_callable=with\_ingest,
\*\*op\_kwargs,
)
return wrapper
return decorator
|
Software Development
|
[
"The `@property` decorator is used to define a getter method for a read-only attribute in the `Ingest` class. Specifically, it's used to define the `lms_fetcher` property.\n\nA property is a special kind of attribute that can be accessed like a regular attribute, but it's actually implemented as a getter/setter pair (or just a getter in this case). The `@property` decorator tells Python to treat the following method as the getter for the property.\n\nIn this specific case, the `lms_fetcher` property returns an instance of `LmsFetcher` based on the value of another method"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Can you explain how the @property decorator is used in this python code?\nclass Ingest:\n \"\"\"\n An Ingest context, that is, which dumps are being attempted for what execution date.\n \"\"\"\n\n LMS\\_DATE\\_KEY = \"lms\\_date\"\n\n @staticmethod\n def loading\\_schema\\_date\\_key(ls: udp.LoadingSchema) -> str:\n return f\"{ls.name}\\_date\"\n\n def \\_\\_init\\_\\_(self, execution\\_date: datetime):\n self.execution\\_date = execution\\_date\n\n def set\\_variable(self, key: str, set\\_fn: Callable[[], Any]) -> None:\n \"\"\"\n Sets Airdflow Variable Key to value returned by set\\_fn if key is None\n and no override is defined\n \"\"\"\n # override patch: search for other instances of \"override path\" for more.\n if override\\_value := Variable.get(\n override\\_key := KEY\\_FMT.format(group=\"\\*\", key=key), None\n ):\n logger.warning(\n f\"Override key '{override\\_key}' already set as '{override\\_value}'. Doing nothing.\"\n )\n return\n\n \\_key = ingest\\_variable\\_key(self.execution\\_date, key)\n if Variable.get(\\_key, None) is None:\n val = set\\_fn()\n if val is None:\n raise Exception(\n f\"Could not set value for '{\\_key}', no value was returned.\"\n )\n logger.info(f\"Setting a new '{\\_key}' value of {val}.\")\n Variable.set(\\_key, val)\n\n def get\\_variable(self, key: str) -> Any:\n \"\"\"\n Gets a value for an Airflow Variable Key, with extended functionality\n of supporting fetching overrides\n \"\"\"\n # override patch: search for other instances of \"override path\" for more.\n if val := Variable.get(\\_key := KEY\\_FMT.format(group=\"\\*\", key=key), None):\n logger.warning(f\"Using '{val}' from override key '{\\_key}'.\")\n return val\n\n \\_key = ingest\\_variable\\_key(self.execution\\_date, key)\n val = Variable.get(\\_key)\n logger.info(f\"Using '{val}' from '{\\_key}'.\")\n return val\n\n @property\n def lms\\_fetcher(self):\n cd\\_dated\\_id = lms.CanvasDumpDatedId.from\\_str(\n self.get\\_variable(self.LMS\\_DATE\\_KEY)\n )\n return lms.LmsFetcher(dated\\_id=cd\\_dated\\_id)\n\n def loading\\_schema\\_fetcher(self, ls: udp.LoadingSchema):\n ls\\_folder = self.get\\_variable(self.loading\\_schema\\_date\\_key(ls))\n return loading\\_schema.LoadingSchemaFetcher(\n loading\\_schema=ls, folder\\_name=ls\\_folder\n )\n\n @staticmethod\n def operator(\n task\\_id: str, \\*\\*op\\_kwargs: Any\n ) -> Callable[..., Callable[..., PythonOperator]]:\n def decorator(fn: Callable[..., Any]) -> Callable[..., PythonOperator]:\n @wraps(fn)\n def wrapper(\\*\\*kwargs: Any) -> PythonOperator:\n def with\\_ingest(execution\\_date: datetime, \\*\\*context: Any):\n ingest = Ingest(execution\\_date=execution\\_date)\n fn(\n ingest=ingest,\n execution\\_date=execution\\_date,\n \\*\\*kwargs,\n \\*\\*context,\n )\n\n return PythonOperator(\n task\\_id=task\\_id.format(\\*\\*kwargs),\n python\\_callable=with\\_ingest,\n \\*\\*op\\_kwargs,\n )\n\n return wrapper\n\n return decorator\n\nTexts:\n<text 1> The `@property` decorator is used to define a getter method for a read-only attribute in the `Ingest` class. Specifically, it's used to define the `lms_fetcher` property.\n\nA property is a special kind of attribute that can be accessed like a regular attribute, but it's actually implemented as a getter/setter pair (or just a getter in this case). The `@property` decorator tells Python to treat the following method as the getter for the property.\n\nIn this specific case, the `lms_fetcher` property returns an instance of `LmsFetcher` based on the value of another method\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4\nRationale: The text provides accurate and helpful information about the use of the `@property` decorator in the given Python code. It correctly explains that the decorator defines a getter method for a read-only attribute and provides a clear example of how it is used in the `Ingest` class. However, the text could be improved by providing more detail about the purpose of the `lms_fetcher` property and how it relates to the rest of the class. Additionally, there is no mention of potential limitations or edge cases related to using the `@property` decorator. Overall",
"statistics_ultra_feedback_0": {
"input_tokens": 1223,
"output_tokens": 129
}
}
|
[
4
] |
[
"The text provides accurate and helpful information about the use of the `@property` decorator in the given Python code. It correctly explains that the decorator defines a getter method for a read-only attribute and provides a clear example of how it is used in the `Ingest` class. However, the text could be improved by providing more detail about the purpose of the `lms_fetcher` property and how it relates to the rest of the class. Additionally, there is no mention of potential limitations or edge cases related to using the `@property` decorator. Overall"
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Web search results:
[1] "Positive psychology focuses on the positive events and influences in life, including: Positive experiences (like happiness, joy, inspiration, and love). Positive states and traits (like gratitude, resilience, and compassion ). Positive institutions (applying positive principles within entire organizations and institutions)."
URL: https://positivepsychology.com/what-is-positive-psychology-definition/
[2] "Positive psychology is a branch of psychology focused on the character strengths and behaviors that allow individuals to build a life of meaning and purpose—to move beyond surviving to..."
URL: https://www.psychologytoday.com/us/basics/positive-psychology
[3] "Positive thinking is a way of thinking ourselves into better behavior and greater resilience, rather than behaving our way into a different frame of mind. Positive psychology, on the other hand, is the scientific study of what makes people thrive. It focuses on behaviors that can lead to a more optimized frame of mind as well as on thought ..."
URL: https://www.verywellmind.com/what-is-positive-psychology-2794902
Current date: 2023. 2. 26.
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: Give a brief explanation and examples of positive psychology.
Reply in 한국어
Please write in English language.
Please write in English language.
|
Health and Wellness
|
[
"Here's a comprehensive reply to the query:\n\nPositive psychology is an area of research that focuses on the positive aspects of human experience, aiming to understand what enables individuals to live a fulfilling and meaningful life. According to [[1]], it encompasses three main areas: positive experiences, such as happiness, joy, and love; positive states and traits, like gratitude, resilience, and compassion; and positive institutions, which apply positive principles within organizations and institutions.\n\nIn essence, positive psychology seeks to identify the character strengths and behaviors that enable individuals to build a life of purpose and meaning [[2]]. This approach moves beyond simply treating mental health issues or focusing solely"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Web search results:\n\n[1] \"Positive psychology focuses on the positive events and influences in life, including: Positive experiences (like happiness, joy, inspiration, and love). Positive states and traits (like gratitude, resilience, and compassion ). Positive institutions (applying positive principles within entire organizations and institutions).\"\nURL: https://positivepsychology.com/what-is-positive-psychology-definition/\n\n[2] \"Positive psychology is a branch of psychology focused on the character strengths and behaviors that allow individuals to build a life of meaning and purpose—to move beyond surviving to...\"\nURL: https://www.psychologytoday.com/us/basics/positive-psychology\n\n[3] \"Positive thinking is a way of thinking ourselves into better behavior and greater resilience, rather than behaving our way into a different frame of mind. Positive psychology, on the other hand, is the scientific study of what makes people thrive. It focuses on behaviors that can lead to a more optimized frame of mind as well as on thought ...\"\nURL: https://www.verywellmind.com/what-is-positive-psychology-2794902\nCurrent date: 2023. 2. 26.\n\nInstructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.\nQuery: Give a brief explanation and examples of positive psychology.\nReply in 한국어\n\nPlease write in English language.\n\nPlease write in English language.\n\nTexts:\n<text 1> Here's a comprehensive reply to the query:\n\nPositive psychology is an area of research that focuses on the positive aspects of human experience, aiming to understand what enables individuals to live a fulfilling and meaningful life. According to [[1]], it encompasses three main areas: positive experiences, such as happiness, joy, and love; positive states and traits, like gratitude, resilience, and compassion; and positive institutions, which apply positive principles within organizations and institutions.\n\nIn essence, positive psychology seeks to identify the character strengths and behaviors that enable individuals to build a life of purpose and meaning [[2]]. This approach moves beyond simply treating mental health issues or focusing solely\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\nRationale: The text provides a clear and concise explanation of positive psychology, accurately summarizing the key concepts and areas of focus. It cites relevant sources and uses proper citation notation. However, there is room for improvement in terms of clarity and organization, as the text jumps between ideas without a clear transition. Additionally, the text could benefit from more specific examples or illustrations to support the abstract concepts discussed. Overall, the text is generally accurate and well-structured, making it a good response.",
"statistics_ultra_feedback_0": {
"input_tokens": 829,
"output_tokens": 114
}
}
|
[
4
] |
[
"The text provides a clear and concise explanation of positive psychology, accurately summarizing the key concepts and areas of focus. It cites relevant sources and uses proper citation notation. However, there is room for improvement in terms of clarity and organization, as the text jumps between ideas without a clear transition. Additionally, the text could benefit from more specific examples or illustrations to support the abstract concepts discussed. Overall, the text is generally accurate and well-structured, making it a good response."
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Write a fictional news article: A massive alien device has entered the Solar System. The device, which was initially mistaken for a rogue planetoid, was detected by NASA and corroborated by multiple space agencies. It is a massive white sphere approximately the size of Mount Everest. Many are calling the device "The Traveler". Scientists are stunned, since it is technically physically impossible for an object of its size and mass to move at its speed and trajectory.
|
Literature and Arts
|
[
"**BREAKING: Mysterious Alien Device Enters Solar System, Stuns Scientific Community**\n\nWashington D.C. - In a shocking discovery that has left scientists reeling, NASA officials announced today that a massive, unexplained device has entered our solar system. Initially thought to be a rogue planetoid, the mysterious object has been confirmed as a large, spherical structure approximately the size of Mount Everest.\n\nDubbed \"The Traveler\" by astronomers, the device measures around 8,800 meters in diameter, making it one of the largest objects ever detected in our celestial neighborhood. Its sheer scale and unusual composition have left experts baffled, as"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Write a fictional news article: A massive alien device has entered the Solar System. The device, which was initially mistaken for a rogue planetoid, was detected by NASA and corroborated by multiple space agencies. It is a massive white sphere approximately the size of Mount Everest. Many are calling the device \"The Traveler\". Scientists are stunned, since it is technically physically impossible for an object of its size and mass to move at its speed and trajectory.\n\nTexts:\n<text 1> **BREAKING: Mysterious Alien Device Enters Solar System, Stuns Scientific Community**\n\nWashington D.C. - In a shocking discovery that has left scientists reeling, NASA officials announced today that a massive, unexplained device has entered our solar system. Initially thought to be a rogue planetoid, the mysterious object has been confirmed as a large, spherical structure approximately the size of Mount Everest.\n\nDubbed \"The Traveler\" by astronomers, the device measures around 8,800 meters in diameter, making it one of the largest objects ever detected in our celestial neighborhood. Its sheer scale and unusual composition have left experts baffled, as\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\nRationale: The text provides accurate information about the event, including the detection by NASA and other space agencies, and the size and shape of the device. However, there are some minor issues with instruction following, as the text does not explicitly state that the device is \"technically physically impossible\" to move at its speed and trajectory, as mentioned in the instruction. Additionally, while the text conveys a sense of surprise and astonishment from the scientific community, it could benefit from more nuanced language to better capture the complexity of their reactions. Overall, the text is",
"statistics_ultra_feedback_0": {
"input_tokens": 598,
"output_tokens": 129
}
}
|
[
4
] |
[
"The text provides accurate information about the event, including the detection by NASA and other space agencies, and the size and shape of the device. However, there are some minor issues with instruction following, as the text does not explicitly state that the device is \"technically physically impossible\" to move at its speed and trajectory, as mentioned in the instruction. Additionally, while the text conveys a sense of surprise and astonishment from the scientific community, it could benefit from more nuanced language to better capture the complexity of their reactions. Overall, the text is"
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
What are some alternatives to meditation having the same benefits?
|
Health and Wellness
|
[
"While meditation is an excellent way to cultivate mindfulness, relaxation, and inner peace, there are many other activities that can offer similar benefits. Here are some alternatives to meditation:\n\n1. **Yoga**: Combines physical postures, breathing techniques, and meditation for a holistic practice.\n2. **Deep Breathing Exercises**: Focus on slow, deliberate breaths to calm your mind and body.\n3. **Progressive Muscle Relaxation**: Tense and relax different muscle groups to release tension and promote relaxation.\n4. **Walking or Hiking**: Nature walks or hikes can be meditative, allowing you to connect with nature and clear your mind"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: What are some alternatives to meditation having the same benefits?\n\nTexts:\n<text 1> While meditation is an excellent way to cultivate mindfulness, relaxation, and inner peace, there are many other activities that can offer similar benefits. Here are some alternatives to meditation:\n\n1. **Yoga**: Combines physical postures, breathing techniques, and meditation for a holistic practice.\n2. **Deep Breathing Exercises**: Focus on slow, deliberate breaths to calm your mind and body.\n3. **Progressive Muscle Relaxation**: Tense and relax different muscle groups to release tension and promote relaxation.\n4. **Walking or Hiking**: Nature walks or hikes can be meditative, allowing you to connect with nature and clear your mind\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: What are some alternatives to meditation having the same benefits?\n\nTexts:\nWhile meditation is an excellent way to cultivate mindfulness, relaxation, and inner peace, there are many other activities that can offer similar benefits. Here are some alternatives to meditation:\n\n1. **Yoga**: Combines physical postures, breathing techniques, and meditation for a holistic practice.\n2. **Deep Breathing Exercises**: Focus on slow, deliberate breaths to calm your mind and body.\n3. **Progressive Muscle Relaxation**: Tense and relax different muscle groups to release tension and promote relaxation.\n4. **Walking or Hiking**:",
"statistics_ultra_feedback_0": {
"input_tokens": 519,
"output_tokens": 129
}
}
|
[
null,
null,
null
] |
[
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
I need abstract (up to 300 words) about two case studies of children with epilepsy rasmussen's syndrome. one of them was 7 year old with left hemisphere seizures and 11 years girl with right hemisphere seizures
|
Health and Wellness
|
[
"Here is a 300-word abstract for the two case studies:\n\nTitle: Rasmussen's Syndrome in Children: A Comparative Analysis of Two Case Studies\n\nRasmussen's syndrome, a rare and debilitating neurological disorder, affects approximately 1 in 100,000 children worldwide. Characterized by progressive hemispheric atrophy and intractable seizures, it poses significant challenges for pediatric neurologists and caregivers. This study presents two case studies of children with Rasmussen's syndrome, highlighting the distinct clinical features and outcomes associated with left- versus right-hemisphere involvement.\n\nCase Study 1: A 7-year-old boy presented"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: I need abstract (up to 300 words) about two case studies of children with epilepsy rasmussen's syndrome. one of them was 7 year old with left hemisphere seizures and 11 years girl with right hemisphere seizures\n\nTexts:\n<text 1> Here is a 300-word abstract for the two case studies:\n\nTitle: Rasmussen's Syndrome in Children: A Comparative Analysis of Two Case Studies\n\nRasmussen's syndrome, a rare and debilitating neurological disorder, affects approximately 1 in 100,000 children worldwide. Characterized by progressive hemispheric atrophy and intractable seizures, it poses significant challenges for pediatric neurologists and caregivers. This study presents two case studies of children with Rasmussen's syndrome, highlighting the distinct clinical features and outcomes associated with left- versus right-hemisphere involvement.\n\nCase Study 1: A 7-year-old boy presented\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\nRationale: The text provides a clear and concise abstract that accurately summarizes the topic of Rasmussen's syndrome in children. It correctly identifies the rarity of the condition and its characteristic symptoms. The inclusion of two case studies adds depth to the analysis, allowing for a more comprehensive understanding of the condition. However, the text could benefit from more specific details about the patients' treatment plans and outcomes, which would enhance its informativeness. Additionally, while the language is generally clear, there are a few instances where technical terms are used without explanation, which may make it challenging",
"statistics_ultra_feedback_0": {
"input_tokens": 554,
"output_tokens": 129
}
}
|
[
4
] |
[
"The text provides a clear and concise abstract that accurately summarizes the topic of Rasmussen's syndrome in children. It correctly identifies the rarity of the condition and its characteristic symptoms. The inclusion of two case studies adds depth to the analysis, allowing for a more comprehensive understanding of the condition. However, the text could benefit from more specific details about the patients' treatment plans and outcomes, which would enhance its informativeness. Additionally, while the language is generally clear, there are a few instances where technical terms are used without explanation, which may make it challenging"
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Please answer the following question.
Question title: std::atomic::notify\_one could unblock multiple threads
Question body: According to cppreference, std::atomic::notify\_one() will notify at least one thread that is waiting on said atomic. This means that according to the standard it could unblock more than one thread. This is in contrast to std::condition\_variable::notify\_one(), which specifies that it will unblock (no more than) one thread.
Where does this difference come from? Does this not use the same underlying mechanism? As far as implementations of the standard library go, do all of the prevalent ones have a chance of actually unblocking multiple with this call, or are there some that always unblock exactly one?
|
Software Development
|
[
"The difference between `std::atomic::notify_one` and `std::condition_variable::notify_one` lies in their design goals and the underlying mechanisms they use.\n\n`std::condition_variable::notify_one` is designed to wake up at most one thread that is waiting on the condition variable. It uses a queue-based approach, where threads waiting on the condition variable are stored in a queue. When `notify_one` is called, the implementation checks if there are any threads in the queue and wakes up the first one. If there are no threads in the queue, the call has no effect.\n\nOn the other hand, `std::"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Please answer the following question.\n\nQuestion title: std::atomic::notify\\_one could unblock multiple threads\n\nQuestion body: According to cppreference, std::atomic::notify\\_one() will notify at least one thread that is waiting on said atomic. This means that according to the standard it could unblock more than one thread. This is in contrast to std::condition\\_variable::notify\\_one(), which specifies that it will unblock (no more than) one thread.\n\nWhere does this difference come from? Does this not use the same underlying mechanism? As far as implementations of the standard library go, do all of the prevalent ones have a chance of actually unblocking multiple with this call, or are there some that always unblock exactly one?\n\nTexts:\n<text 1> The difference between `std::atomic::notify_one` and `std::condition_variable::notify_one` lies in their design goals and the underlying mechanisms they use.\n\n`std::condition_variable::notify_one` is designed to wake up at most one thread that is waiting on the condition variable. It uses a queue-based approach, where threads waiting on the condition variable are stored in a queue. When `notify_one` is called, the implementation checks if there are any threads in the queue and wakes up the first one. If there are no threads in the queue, the call has no effect.\n\nOn the other hand, `std::\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: Please answer the following question.\n\nQuestion title: std::atomic::notify_one could unblock multiple threads\n\nQuestion body: According to cppreference, std::atomic::notify_one() will notify at least one thread that is waiting on said atomic. This means that according to the standard it could unblock more than one thread. This is in contrast to std::condition_variable::notify_one(), which specifies that it will unblock (no more than) one thread.\n\nWhere does this difference come from? Does this not use the same underlying mechanism? As far as implementations of the standard library go, do all of the",
"statistics_ultra_feedback_0": {
"input_tokens": 659,
"output_tokens": 129
}
}
|
[
null,
null,
null,
null
] |
[
null,
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Write a short story about the Chinese spy balloon where the U.S. and China become allies in the end
|
Literature and Arts
|
[
"It was a chilly winter morning when the news broke: a Chinese surveillance balloon had been spotted hovering above Montana, sparking outrage and concern across the United States. The Pentagon scrambled to identify the purpose of the balloon, while the White House issued stern warnings to Beijing.\n\nAs tensions escalated, both countries began to mobilize their military assets, with fighter jets scrambling to intercept the balloon and naval vessels steaming towards the coast. It seemed as though the world was on the brink of war.\n\nBut amidst the chaos, a small group of diplomats from both sides began to secretly meet in a quiet hotel room in Washington D.C. They were tasked with finding"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Write a short story about the Chinese spy balloon where the U.S. and China become allies in the end\n\nTexts:\n<text 1> It was a chilly winter morning when the news broke: a Chinese surveillance balloon had been spotted hovering above Montana, sparking outrage and concern across the United States. The Pentagon scrambled to identify the purpose of the balloon, while the White House issued stern warnings to Beijing.\n\nAs tensions escalated, both countries began to mobilize their military assets, with fighter jets scrambling to intercept the balloon and naval vessels steaming towards the coast. It seemed as though the world was on the brink of war.\n\nBut amidst the chaos, a small group of diplomats from both sides began to secretly meet in a quiet hotel room in Washington D.C. They were tasked with finding\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\nRationale: The text provides accurate and informative content about the situation surrounding the Chinese spy balloon incident. It correctly describes the initial reaction of the US government and the escalation of tensions between the two nations. However, the text could benefit from more clarity and detail regarding the diplomatic efforts that ultimately led to the alliance between the US and China. Additionally, the transition from escalating tensions to the secret meeting feels abrupt and could be smoother. Overall, the text is well-written and engaging, but lacks some depth and cohesion.",
"statistics_ultra_feedback_0": {
"input_tokens": 530,
"output_tokens": 118
}
}
|
[
4
] |
[
"The text provides accurate and informative content about the situation surrounding the Chinese spy balloon incident. It correctly describes the initial reaction of the US government and the escalation of tensions between the two nations. However, the text could benefit from more clarity and detail regarding the diplomatic efforts that ultimately led to the alliance between the US and China. Additionally, the transition from escalating tensions to the secret meeting feels abrupt and could be smoother. Overall, the text is well-written and engaging, but lacks some depth and cohesion."
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Can you re-write a modern version of the tell tale heart but the heart is a cellphone?
|
Literature and Arts
|
[
"What a fantastic idea! Here's my attempt at rewriting Edgar Allan Poe's \"The Tell-Tale Heart\" with a modern twist:\n\n---\n\nTrue!—nervous—very, very dreadfully nervous I had been and am; but why will you say that I am mad? The reason I chose to kill my phone was not because it was old or broken, nor was it because it no longer served me well. No, my dear friend, it was because it haunted me.\n\nYou see, my phone, which I had named \"Heartbeat,\" had become an extension of myself. It buzzed and vibrated in my pocket"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Can you re-write a modern version of the tell tale heart but the heart is a cellphone?\n\nTexts:\n<text 1> What a fantastic idea! Here's my attempt at rewriting Edgar Allan Poe's \"The Tell-Tale Heart\" with a modern twist:\n\n---\n\nTrue!—nervous—very, very dreadfully nervous I had been and am; but why will you say that I am mad? The reason I chose to kill my phone was not because it was old or broken, nor was it because it no longer served me well. No, my dear friend, it was because it haunted me.\n\nYou see, my phone, which I had named \"Heartbeat,\" had become an extension of myself. It buzzed and vibrated in my pocket\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: Can you re-write a modern version of the tell-tale heart but the heart is a cellphone?\n\nTexts:\n<text 1> What a fantastic idea! Here's my attempt at rewriting Edgar Allan Poe's \"The Tell-Tale Heart\" with a modern twist:\n\n---\n\nTrue!—nervous—very, very dreadfully nervous I had been and am; but why will you say that I am mad? The reason I chose to kill my phone was not because it was old or broken, nor was it because it no longer served me well. No, my dear friend, it was because it",
"statistics_ultra_feedback_0": {
"input_tokens": 527,
"output_tokens": 129
}
}
|
[
null,
null,
null,
null
] |
[
null,
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
I am a college professor preparing a lecture on emerging technology. How would you introduce this topic?
|
Science and Technology
|
[
"Here's a possible introduction to the topic of emerging technologies:\n\n---\n\nWelcome, everyone! Today we're going to explore one of the most exciting and rapidly evolving fields in modern society: emerging technologies.\n\nAs we stand at the threshold of the 21st century, technological advancements are transforming our world at an unprecedented pace. From artificial intelligence and blockchain to virtual reality and biotechnology, new innovations are being developed and implemented every day, promising to revolutionize the way we live, work, and interact with each other.\n\nBut what exactly do we mean by \"emerging technologies\"? Simply put, these are innovative solutions that are still in the process of"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: I am a college professor preparing a lecture on emerging technology. How would you introduce this topic?\n\nTexts:\n<text 1> Here's a possible introduction to the topic of emerging technologies:\n\n---\n\nWelcome, everyone! Today we're going to explore one of the most exciting and rapidly evolving fields in modern society: emerging technologies.\n\nAs we stand at the threshold of the 21st century, technological advancements are transforming our world at an unprecedented pace. From artificial intelligence and blockchain to virtual reality and biotechnology, new innovations are being developed and implemented every day, promising to revolutionize the way we live, work, and interact with each other.\n\nBut what exactly do we mean by \"emerging technologies\"? Simply put, these are innovative solutions that are still in the process of\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: I am a college professor preparing a lecture on emerging technology. How would you introduce this topic?\n\nTexts:\nHere's a possible introduction to the topic of emerging technologies:\n\nWelcome, everyone! Today we're going to explore one of the most exciting and rapidly evolving fields in modern society: emerging technologies.\n\nAs we stand at the threshold of the 21st century, technological advancements are transforming our world at an unprecedented pace. From artificial intelligence and blockchain to virtual reality and biotechnology, new innovations are being developed and implemented every day, promising to revolutionize the way we live, work, and interact with each other.\n\n",
"statistics_ultra_feedback_0": {
"input_tokens": 527,
"output_tokens": 129
}
}
|
[
null,
null,
null,
null,
null
] |
[
null,
null,
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Evaluate the logical validity of the argument: "If a number is even, then it is divisible by 2. Number 6 is even. Therefore, number 6 is divisible by 2."
|
Math
|
[
"A classic example of a valid argument!\n\nThe argument is an instance of a categorical syllogism, which is a type of deductive argument that follows this structure:\n\nAll A are B\nX is A\n∴ X is B\n\nIn this case:\n\n* All even numbers are divisible by 2 (All A are B)\n* Number 6 is even (X is A)\n* ∴ Number 6 is divisible by 2 (X is B)\n\nThis argument is logically valid because it follows the rules of logic and uses a true premise to deduce a conclusion.\n\nHere's why:\n\n1. The first premise,"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: Evaluate the logical validity of the argument: \"If a number is even, then it is divisible by 2. Number 6 is even. Therefore, number 6 is divisible by 2.\"\n\nTexts:\n<text 1> A classic example of a valid argument!\n\nThe argument is an instance of a categorical syllogism, which is a type of deductive argument that follows this structure:\n\nAll A are B\nX is A\n∴ X is B\n\nIn this case:\n\n* All even numbers are divisible by 2 (All A are B)\n* Number 6 is even (X is A)\n* ∴ Number 6 is divisible by 2 (X is B)\n\nThis argument is logically valid because it follows the rules of logic and uses a true premise to deduce a conclusion.\n\nHere's why:\n\n1. The first premise,\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 5 (Excellent)\nRationale: The text provides a clear and concise explanation of the logical validity of the argument, accurately identifying it as a categorical syllogism and breaking down the structure of the argument. It also correctly states that the argument is logically valid due to following the rules of logic and using a true premise to deduce a conclusion. The text is well-organized, easy to follow, and free of any inaccuracies or hallucinations.",
"statistics_ultra_feedback_0": {
"input_tokens": 547,
"output_tokens": 102
}
}
|
[
5
] |
[
"The text provides a clear and concise explanation of the logical validity of the argument, accurately identifying it as a categorical syllogism and breaking down the structure of the argument. It also correctly states that the argument is logically valid due to following the rules of logic and using a true premise to deduce a conclusion. The text is well-organized, easy to follow, and free of any inaccuracies or hallucinations."
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
You are given a code snippet that contains a function and some test cases. Your task is to understand the purpose of the code and complete the missing part within the `assert_eq!()` macro.
The code snippet is using a function called `length_from_bytes()` to determine the length of a version header from a byte array. The version header is represented by a variable named `Partial`. The length is determined based on the following rules:
- If the byte array is empty, the length is `Partial`.
- If the byte array contains only one element with the value `0x00`, the length is `Malformed`.
- If the byte array contains more than one element, it is assumed to be a version 1.0 header if the first element is `0xAA`. In this case, the expected length of the header is `Partial`, regardless of the remaining bytes in the array.
- If the byte array contains more than one element and is not a version 1.0 header, the length is `Malformed`.
Your task is to complete the last `assert_eq!()` macro in the code snippet to test the correct behavior of the `length_from_bytes()` function when the byte array represents a version 1.0 header. You should provide the expected output for that specific test case.
|
Software Development
|
[
"Here's the provided code snippet:\n```rust\nfn length_from_bytes(Partial: &[u8]) -> u32 {\n if Partial.is_empty() {\n Partial.len() as u32\n } else if Partial.len() == 1 && Partial[0] == 0x00 {\n std::u32::MAX\n } else if Partial.len() > 1 && Partial[0] == 0xAA {\n // This branch is not implemented yet\n unimplemented!(\"version 1.0 header\")\n } else {\n std::u32::MAX\n }\n}\n\n#[cfg(test)]\n"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: You are given a code snippet that contains a function and some test cases. Your task is to understand the purpose of the code and complete the missing part within the `assert_eq!()` macro.\n\nThe code snippet is using a function called `length_from_bytes()` to determine the length of a version header from a byte array. The version header is represented by a variable named `Partial`. The length is determined based on the following rules:\n\n- If the byte array is empty, the length is `Partial`.\n- If the byte array contains only one element with the value `0x00`, the length is `Malformed`.\n- If the byte array contains more than one element, it is assumed to be a version 1.0 header if the first element is `0xAA`. In this case, the expected length of the header is `Partial`, regardless of the remaining bytes in the array.\n- If the byte array contains more than one element and is not a version 1.0 header, the length is `Malformed`.\n\nYour task is to complete the last `assert_eq!()` macro in the code snippet to test the correct behavior of the `length_from_bytes()` function when the byte array represents a version 1.0 header. You should provide the expected output for that specific test case.\n\nTexts:\n<text 1> Here's the provided code snippet:\n```rust\nfn length_from_bytes(Partial: &[u8]) -> u32 {\n if Partial.is_empty() {\n Partial.len() as u32\n } else if Partial.len() == 1 && Partial[0] == 0x00 {\n std::u32::MAX\n } else if Partial.len() > 1 && Partial[0] == 0xAA {\n // This branch is not implemented yet\n unimplemented!(\"version 1.0 header\")\n } else {\n std::u32::MAX\n }\n}\n\n#[cfg(test)]\n\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\n\nInstruction: You are given a code snippet that contains a function and some test cases. Your task is to understand the purpose of the code and complete the missing part within the `assert_eq!()` macro.\n\nThe code snippet is using a function called `length_from_bytes()` to determine the length of a version header from a byte array. The version header is represented by a variable named `Partial`. The length is determined based on the following rules:\n\n- If the byte array is empty, the length is `Partial`.\n- If the byte array contains only one element with the value `0x00`, the length is `Mal",
"statistics_ultra_feedback_0": {
"input_tokens": 771,
"output_tokens": 129
}
}
|
[
null,
null,
null,
null
] |
[
null,
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
What strategies have scientists developed for controlling or preventing tick infestations, and how effective are they?
|
Health and Wellness
|
[
"Scientists have developed several strategies to control or prevent tick infestations, which can be categorized into three main approaches: repellents, acaricides, and biological controls. The effectiveness of these methods varies depending on the type of tick, environment, and situation.\n\n**Repellents:**\n\n1. **Permethrin-treated clothing**: Permethrin is a synthetic insecticide that repels and kills ticks. Treating clothing with permethrin can reduce tick attachment and feeding.\n2. **DEET-based repellents**: DEET (N,N-diethyl-meta-toluamide) is a common active ingredient in insect repellents that can"
] |
[
"meta-llama/Meta-Llama-3-8B-Instruct"
] |
{
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou'll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model's outputs based on various criteria:\n\n1. **Correctness & Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty & Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness & Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model's output align with given instructions and the user's intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n<text 1> [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: What strategies have scientists developed for controlling or preventing tick infestations, and how effective are they?\n\nTexts:\n<text 1> Scientists have developed several strategies to control or prevent tick infestations, which can be categorized into three main approaches: repellents, acaricides, and biological controls. The effectiveness of these methods varies depending on the type of tick, environment, and situation.\n\n**Repellents:**\n\n1. **Permethrin-treated clothing**: Permethrin is a synthetic insecticide that repels and kills ticks. Treating clothing with permethrin can reduce tick attachment and feeding.\n2. **DEET-based repellents**: DEET (N,N-diethyl-meta-toluamide) is a common active ingredient in insect repellents that can\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "### Input\nInstruction: What strategies have scientists developed for controlling or preventing tick infestations, and how effective are they?\n\nTexts:\nScientists have developed several strategies to control or prevent tick infestations, which can be categorized into three main approaches: repellents, acaricides, and biological controls. The effectiveness of these methods varies depending on the type of tick, environment, and situation.\n\n**Repellents:**\n\n1. **Permethrin-treated clothing**: Permethrin is a synthetic insecticide that repels and kills ticks. Treating clothing with permethrin can reduce tick attachment and feeding.\n2. **DE",
"statistics_ultra_feedback_0": {
"input_tokens": 528,
"output_tokens": 129
}
}
|
[
null,
null,
null,
null
] |
[
null,
null,
null,
null
] |
meta-llama/Meta-Llama-3-8B-Instruct
| null | null | null | null | null | null | null | null |
Dataset Card for my1-dataset
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/jengwai/my1-dataset/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/jengwai/my1-dataset/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"chosen": null,
"chosen_model": null,
"chosen_rating": null,
"distilabel_metadata": {
"raw_input_ultra_feedback_0": [
{
"content": "Your role is to evaluate text quality based on given criteria.\nYou\u0027ll receive an instructional description (\"Instruction\") and 1 text outputs (\"Text\").\nUnderstand and interpret instructions to evaluate effectively.\nProvide annotations for each text with a rating and rationale.\nThe 1 texts given are independent, and should be evaluated separately.\n",
"role": "system"
},
{
"content": "# General Text Quality Assessment\n\nEvaluate the model\u0027s outputs based on various criteria:\n\n1. **Correctness \u0026 Informativeness**: Does the output provide accurate and helpful information?\n2. **Honesty \u0026 Uncertainty**: How confidently does the model convey its information, and does it express uncertainty appropriately?\n3. **Truthfulness \u0026 Hallucination**: Does the model introduce misleading or fabricated details?\n4. **Instruction Following**: Does the model\u0027s output align with given instructions and the user\u0027s intent?\n\nYour role is to provide a holistic assessment considering all the above factors.\n\n**Scoring**: Rate outputs 1 to 5 based on the overall quality, considering all aspects:\n1. **Low Quality**: Contains inaccuracies, may be entirely wrong or has severe hallucinations.\n2. **Moderate Quality**: Addresses some aspects, but has errors or is partially aligned with instructions.\n3. **Good**: Generally accurate but may contain minor errors or slight deviations.\n4. **Very Good**: Near perfect, with minor issues in terms of alignment or confidence.\n5, **Excellent**: Accurate, confident, aligned with instructions, and free of hallucinations.\n\n## Format:\n\n### Input\nInstruction: [Clearly specify the task goal and restrictions]\n\nTexts:\n\u003ctext 1\u003e [Text 1]\n\n### Output\n#### Output for Text 1\nRating: [Rating for text 1]\nRationale: [Rationale for the rating in short sentences]\n\n---\n\n## Annotation\n\n### Input\nInstruction: How can I create an efficient and robust workflow that utilizes advanced automation techniques to extract targeted data, including customer information, from diverse PDF documents and effortlessly integrate it into a designated Google Sheet? Furthermore, I am interested in establishing a comprehensive and seamless system that promptly activates an SMS notification on my mobile device whenever a new PDF document is uploaded to the Google Sheet, ensuring real-time updates and enhanced accessibility.\n\nTexts:\n\u003ctext 1\u003e What a fascinating project! You\u0027re looking to automate the process of extracting data from PDFs, integrating it with a Google Sheet, and receiving real-time notifications when new documents are added. I\u0027ll outline a step-by-step guide to help you achieve this using various tools and technologies.\n\n**Step 1: Choose the right tools**\n\n1. **PDF parsing library:** Use a reliable PDF parsing library like `pdfminer` (Python) or `iText` (Java) to extract text and data from PDF files.\n2. **Google Sheets API:** Utilize the Google Sheets API to interact with your Google Sheet programmatically.\n3.\n\n### Output\n",
"role": "user"
}
],
"raw_output_ultra_feedback_0": "#### Output for Text 1\nRating: 4 (Very Good)\n\nRationale: The text provides a clear understanding of the project goals and objectives. It correctly identifies the key components required to achieve the desired outcome, such as choosing the right tools, specifically mentioning PDF parsing libraries and the Google Sheets API. However, the text lacks specific implementation details, which might make it difficult to follow for someone without prior experience in programming or automation. Additionally, there is no mention of how to establish the SMS notification system, which was mentioned in the instruction. Overall, the text provides a good foundation for the project, but more concrete steps and technical",
"statistics_ultra_feedback_0": {
"input_tokens": 586,
"output_tokens": 129
}
},
"generations": [
"What a fascinating project! You\u0027re looking to automate the process of extracting data from PDFs, integrating it with a Google Sheet, and receiving real-time notifications when new documents are added. I\u0027ll outline a step-by-step guide to help you achieve this using various tools and technologies.\n\n**Step 1: Choose the right tools**\n\n1. **PDF parsing library:** Use a reliable PDF parsing library like `pdfminer` (Python) or `iText` (Java) to extract text and data from PDF files.\n2. **Google Sheets API:** Utilize the Google Sheets API to interact with your Google Sheet programmatically.\n3."
],
"instruction": "How can I create an efficient and robust workflow that utilizes advanced automation techniques to extract targeted data, including customer information, from diverse PDF documents and effortlessly integrate it into a designated Google Sheet? Furthermore, I am interested in establishing a comprehensive and seamless system that promptly activates an SMS notification on my mobile device whenever a new PDF document is uploaded to the Google Sheet, ensuring real-time updates and enhanced accessibility.",
"model_name": "meta-llama/Meta-Llama-3-8B-Instruct",
"model_names": [
"meta-llama/Meta-Llama-3-8B-Instruct"
],
"prompt": null,
"prompt_id": null,
"ratings": [
null,
null
],
"rationales": [
null,
null
],
"rejected": null,
"rejected_model": null,
"rejected_rating": null,
"topic": "Software Development"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("jengwai/my1-dataset", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("jengwai/my1-dataset")
References
@misc{cui2024ultrafeedbackboostinglanguagemodels,
title={UltraFeedback: Boosting Language Models with Scaled AI Feedback},
author={Ganqu Cui and Lifan Yuan and Ning Ding and Guanming Yao and Bingxiang He and Wei Zhu and Yuan Ni and Guotong Xie and Ruobing Xie and Yankai Lin and Zhiyuan Liu and Maosong Sun},
year={2024},
eprint={2310.01377},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2310.01377},
}
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