id stringlengths 14 14 | category stringclasses 6
values | topic stringclasses 20
values | messages listlengths 2 2 | synthetic bool 1
class | source stringclasses 1
value | quality_note stringclasses 1
value |
|---|---|---|---|---|---|---|
compactlm-0042 | summarization | on-device AI | [
{
"role": "user",
"content": "Summarize this note in a sentence: \"Our team is exploring on-device AI. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team will pilot on-device AI, measure ou... | true | template-generated | unreviewed demonstration sample |
compactlm-0375 | definition | training validation | [
{
"role": "user",
"content": "Answer concisely: Explain training validation in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Training validation means using held-out examples to assess model behavior during development."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0524 | summarization | embedding search | [
{
"role": "user",
"content": "For technical documentation: Summarize this note in a sentence: \"Our team is exploring embedding search. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team wi... | true | template-generated | unreviewed demonstration sample |
compactlm-0385 | glossary | quantization | [
{
"role": "user",
"content": "Answer concisely: Write a short glossary entry for quantization, including one practical consideration."
},
{
"role": "assistant",
"content": "Quantization: representing model weights or calculations using lower numerical precision. In practice, evaluate its benefit... | true | template-generated | unreviewed demonstration sample |
compactlm-0151 | glossary | latency optimization | [
{
"role": "user",
"content": "For a student project: Write a short glossary entry for latency optimization, including one practical consideration."
},
{
"role": "assistant",
"content": "Latency optimization: reducing the delay between an input request and a generated response. In practice, evalu... | true | template-generated | unreviewed demonstration sample |
compactlm-0454 | extraction | fine-tuning | [
{
"role": "user",
"content": "Answer concisely: Extract the focus area and next step as JSON from: \"We are testing fine-tuning and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"fine-tuning\", \"next_step\": \"record latency and accuracy\"}"
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0404 | summarization | embedding search | [
{
"role": "user",
"content": "Answer concisely: Summarize this note in a sentence: \"Our team is exploring embedding search. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team will pilot em... | true | template-generated | unreviewed demonstration sample |
compactlm-0195 | rewriting | training validation | [
{
"role": "user",
"content": "For a student project: Rewrite for clarity: \"We are doing training validation stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating training validation and will consider expanding the experiment afte... | true | template-generated | unreviewed demonstration sample |
compactlm-0319 | rewriting | classifier calibration | [
{
"role": "user",
"content": "For a small research prototype: Rewrite for clarity: \"We are doing classifier calibration stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating classifier calibration and will consider expanding the ... | true | template-generated | unreviewed demonstration sample |
compactlm-0474 | evaluation | fine-tuning | [
{
"role": "user",
"content": "Answer concisely: Give two responsible evaluation checks for a demonstration involving fine-tuning."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for fine-tuning.\n2. Inspect failures and disclose limitations before drawing conclusions... | true | template-generated | unreviewed demonstration sample |
compactlm-0414 | summarization | fine-tuning | [
{
"role": "user",
"content": "Answer concisely: Summarize this note in a sentence: \"Our team is exploring fine-tuning. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team will pilot fine-tu... | true | template-generated | unreviewed demonstration sample |
compactlm-0334 | extraction | fine-tuning | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing fine-tuning and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"fine-tuning\", \"next_step\": \"record latency and accur... | true | template-generated | unreviewed demonstration sample |
compactlm-0387 | glossary | model distillation | [
{
"role": "user",
"content": "Answer concisely: Write a short glossary entry for model distillation, including one practical consideration."
},
{
"role": "assistant",
"content": "Model distillation: training a smaller student model using guidance from a stronger teacher. In practice, evaluate it... | true | template-generated | unreviewed demonstration sample |
compactlm-0595 | evaluation | training validation | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving training validation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for training validation.\n2. Inspect failures and disclose limitations... | true | template-generated | unreviewed demonstration sample |
compactlm-0255 | definition | training validation | [
{
"role": "user",
"content": "For a small research prototype: Explain training validation in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Training validation means using held-out examples to assess model behavior during development."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0217 | extraction | model deployment | [
{
"role": "user",
"content": "For a student project: Extract the focus area and next step as JSON from: \"We are testing model deployment and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"model deployment\", \"next_step\": \"record latency and accu... | true | template-generated | unreviewed demonstration sample |
compactlm-0283 | summarization | tokenization | [
{
"role": "user",
"content": "For a small research prototype: Summarize this note in a sentence: \"Our team is exploring tokenization. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team wil... | true | template-generated | unreviewed demonstration sample |
compactlm-0085 | extraction | quantization | [
{
"role": "user",
"content": "Extract the focus area and next step as JSON from: \"We are testing quantization and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"quantization\", \"next_step\": \"record latency and accuracy\"}"
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0461 | evaluation | GPU inference | [
{
"role": "user",
"content": "Answer concisely: Give two responsible evaluation checks for a demonstration involving GPU inference."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for GPU inference.\n2. Inspect failures and disclose limitations before drawing conclus... | true | template-generated | unreviewed demonstration sample |
compactlm-0421 | rewriting | GPU inference | [
{
"role": "user",
"content": "Answer concisely: Rewrite for clarity: \"We are doing GPU inference stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating GPU inference and will consider expanding the experiment after reviewing the r... | true | template-generated | unreviewed demonstration sample |
compactlm-0471 | evaluation | latency optimization | [
{
"role": "user",
"content": "Answer concisely: Give two responsible evaluation checks for a demonstration involving latency optimization."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for latency optimization.\n2. Inspect failures and disclose limitations before d... | true | template-generated | unreviewed demonstration sample |
compactlm-0372 | definition | memory usage | [
{
"role": "user",
"content": "Answer concisely: Explain memory usage in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Memory usage means the amount of RAM or accelerator memory consumed during execution."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0448 | extraction | dataset curation | [
{
"role": "user",
"content": "Answer concisely: Extract the focus area and next step as JSON from: \"We are testing dataset curation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"dataset curation\", \"next_step\": \"record latency and accuracy\... | true | template-generated | unreviewed demonstration sample |
compactlm-0226 | evaluation | batching | [
{
"role": "user",
"content": "For a student project: Give two responsible evaluation checks for a demonstration involving batching."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for batching.\n2. Inspect failures and disclose limitations before drawing conclusions.... | true | template-generated | unreviewed demonstration sample |
compactlm-0248 | definition | dataset curation | [
{
"role": "user",
"content": "For a small research prototype: Explain dataset curation in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Dataset curation means selecting, cleaning, and documenting examples used for training or evaluation."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0568 | extraction | dataset curation | [
{
"role": "user",
"content": "For technical documentation: Extract the focus area and next step as JSON from: \"We are testing dataset curation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"dataset curation\", \"next_step\": \"record latency an... | true | template-generated | unreviewed demonstration sample |
compactlm-0429 | rewriting | prompt evaluation | [
{
"role": "user",
"content": "Answer concisely: Rewrite for clarity: \"We are doing prompt evaluation stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating prompt evaluation and will consider expanding the experiment after reviewi... | true | template-generated | unreviewed demonstration sample |
compactlm-0546 | rewriting | batching | [
{
"role": "user",
"content": "For technical documentation: Rewrite for clarity: \"We are doing batching stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating batching and will consider expanding the experiment after reviewing the ... | true | template-generated | unreviewed demonstration sample |
compactlm-0424 | rewriting | embedding search | [
{
"role": "user",
"content": "Answer concisely: Rewrite for clarity: \"We are doing embedding search stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating embedding search and will consider expanding the experiment after reviewing... | true | template-generated | unreviewed demonstration sample |
compactlm-0131 | definition | latency optimization | [
{
"role": "user",
"content": "For a student project: Explain latency optimization in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Latency optimization means reducing the delay between an input request and a generated response."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0112 | evaluation | memory usage | [
{
"role": "user",
"content": "Give two responsible evaluation checks for a demonstration involving memory usage."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for memory usage.\n2. Inspect failures and disclose limitations before drawing conclusions."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0041 | summarization | GPU inference | [
{
"role": "user",
"content": "Summarize this note in a sentence: \"Our team is exploring GPU inference. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team will pilot GPU inference, measure ... | true | template-generated | unreviewed demonstration sample |
compactlm-0068 | rewriting | dataset curation | [
{
"role": "user",
"content": "Rewrite for clarity: \"We are doing dataset curation stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating dataset curation and will consider expanding the experiment after reviewing the results."
}... | true | template-generated | unreviewed demonstration sample |
compactlm-0143 | glossary | tokenization | [
{
"role": "user",
"content": "For a student project: Write a short glossary entry for tokenization, including one practical consideration."
},
{
"role": "assistant",
"content": "Tokenization: turning text into smaller units represented by numeric token IDs. In practice, evaluate its benefits and... | true | template-generated | unreviewed demonstration sample |
compactlm-0181 | rewriting | GPU inference | [
{
"role": "user",
"content": "For a student project: Rewrite for clarity: \"We are doing GPU inference stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating GPU inference and will consider expanding the experiment after reviewing ... | true | template-generated | unreviewed demonstration sample |
compactlm-0330 | extraction | code generation | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing code generation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"code generation\", \"next_step\": \"record latency a... | true | template-generated | unreviewed demonstration sample |
compactlm-0475 | evaluation | training validation | [
{
"role": "user",
"content": "Answer concisely: Give two responsible evaluation checks for a demonstration involving training validation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for training validation.\n2. Inspect failures and disclose limitations before dra... | true | template-generated | unreviewed demonstration sample |
compactlm-0015 | definition | training validation | [
{
"role": "user",
"content": "Explain training validation in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Training validation means using held-out examples to assess model behavior during development."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0029 | glossary | prompt evaluation | [
{
"role": "user",
"content": "Write a short glossary entry for prompt evaluation, including one practical consideration."
},
{
"role": "assistant",
"content": "Prompt evaluation: testing how model outputs change in response to prompts. In practice, evaluate its benefits and trade-offs using meas... | true | template-generated | unreviewed demonstration sample |
compactlm-0287 | summarization | model distillation | [
{
"role": "user",
"content": "For a small research prototype: Summarize this note in a sentence: \"Our team is exploring model distillation. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The te... | true | template-generated | unreviewed demonstration sample |
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