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-0453 | extraction | retrieval augmentation | [
{
"role": "user",
"content": "Answer concisely: Extract the focus area and next step as JSON from: \"We are testing retrieval augmentation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"retrieval augmentation\", \"next_step\": \"record latency a... | true | template-generated | unreviewed demonstration sample |
compactlm-0577 | extraction | model deployment | [
{
"role": "user",
"content": "For technical documentation: 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 an... | true | template-generated | unreviewed demonstration sample |
compactlm-0155 | glossary | training validation | [
{
"role": "user",
"content": "For a student project: Write a short glossary entry for training validation, including one practical consideration."
},
{
"role": "assistant",
"content": "Training validation: using held-out examples to assess model behavior during development. In practice, evaluate... | true | template-generated | unreviewed demonstration sample |
compactlm-0513 | glossary | retrieval augmentation | [
{
"role": "user",
"content": "For technical documentation: Write a short glossary entry for retrieval augmentation, including one practical consideration."
},
{
"role": "assistant",
"content": "Retrieval augmentation: supplementing generation with information retrieved from an external collectio... | true | template-generated | unreviewed demonstration sample |
compactlm-0036 | glossary | context windows | [
{
"role": "user",
"content": "Write a short glossary entry for context windows, including one practical consideration."
},
{
"role": "assistant",
"content": "Context windows: the limit on how many input and generated tokens a model can consider in one request. In practice, evaluate its benefits ... | true | template-generated | unreviewed demonstration sample |
compactlm-0441 | extraction | GPU inference | [
{
"role": "user",
"content": "Answer concisely: Extract the focus area and next step as JSON from: \"We are testing GPU inference and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"GPU inference\", \"next_step\": \"record latency and accuracy\"}"
... | true | template-generated | unreviewed demonstration sample |
compactlm-0074 | rewriting | fine-tuning | [
{
"role": "user",
"content": "Rewrite for clarity: \"We are doing fine-tuning stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating fine-tuning and will consider expanding the experiment after reviewing the results."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0006 | definition | batching | [
{
"role": "user",
"content": "Explain batching in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Batching means processing multiple requests together to improve hardware utilization."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0051 | summarization | latency optimization | [
{
"role": "user",
"content": "Summarize this note in a sentence: \"Our team is exploring latency optimization. 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 latency optimiza... | true | template-generated | unreviewed demonstration sample |
compactlm-0185 | rewriting | quantization | [
{
"role": "user",
"content": "For a student project: Rewrite for clarity: \"We are doing quantization stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating quantization and will consider expanding the experiment after reviewing th... | true | template-generated | unreviewed demonstration sample |
compactlm-0113 | evaluation | retrieval augmentation | [
{
"role": "user",
"content": "Give two responsible evaluation checks for a demonstration involving retrieval augmentation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for retrieval augmentation.\n2. Inspect failures and disclose limitations before drawing conclus... | true | template-generated | unreviewed demonstration sample |
compactlm-0398 | glossary | hallucination detection | [
{
"role": "user",
"content": "Answer concisely: Write a short glossary entry for hallucination detection, including one practical consideration."
},
{
"role": "assistant",
"content": "Hallucination detection: identifying generated claims that lack support or are incorrect. In practice, evaluate ... | true | template-generated | unreviewed demonstration sample |
compactlm-0489 | definition | prompt evaluation | [
{
"role": "user",
"content": "For technical documentation: Explain prompt evaluation in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Prompt evaluation means testing how model outputs change in response to prompts."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0109 | evaluation | prompt evaluation | [
{
"role": "user",
"content": "Give two responsible evaluation checks for a demonstration involving prompt evaluation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for prompt evaluation.\n2. Inspect failures and disclose limitations before drawing conclusions."
}... | true | template-generated | unreviewed demonstration sample |
compactlm-0348 | evaluation | dataset curation | [
{
"role": "user",
"content": "For a small research prototype: Give two responsible evaluation checks for a demonstration involving dataset curation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for dataset curation.\n2. Inspect failures and disclose limitations be... | true | template-generated | unreviewed demonstration sample |
compactlm-0491 | definition | latency optimization | [
{
"role": "user",
"content": "For technical documentation: 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-0246 | definition | batching | [
{
"role": "user",
"content": "For a small research prototype: Explain batching in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Batching means processing multiple requests together to improve hardware utilization."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0335 | extraction | training validation | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing training validation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"training validation\", \"next_step\": \"record l... | true | template-generated | unreviewed demonstration sample |
compactlm-0590 | evaluation | code generation | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving code generation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for code generation.\n2. Inspect failures and disclose limitations before ... | true | template-generated | unreviewed demonstration sample |
compactlm-0234 | evaluation | fine-tuning | [
{
"role": "user",
"content": "For a student project: 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 conclu... | true | template-generated | unreviewed demonstration sample |
compactlm-0511 | glossary | latency optimization | [
{
"role": "user",
"content": "For technical documentation: 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,... | true | template-generated | unreviewed demonstration sample |
compactlm-0473 | evaluation | retrieval augmentation | [
{
"role": "user",
"content": "Answer concisely: Give two responsible evaluation checks for a demonstration involving retrieval augmentation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for retrieval augmentation.\n2. Inspect failures and disclose limitations befo... | true | template-generated | unreviewed demonstration sample |
compactlm-0358 | evaluation | hallucination detection | [
{
"role": "user",
"content": "For a small research prototype: Give two responsible evaluation checks for a demonstration involving hallucination detection."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for hallucination detection.\n2. Inspect failures and disclose ... | true | template-generated | unreviewed demonstration sample |
compactlm-0277 | glossary | model deployment | [
{
"role": "user",
"content": "For a small research prototype: Write a short glossary entry for model deployment, including one practical consideration."
},
{
"role": "assistant",
"content": "Model deployment: making a model available for use in an application or service. In practice, evaluate it... | true | template-generated | unreviewed demonstration sample |
compactlm-0519 | glossary | classifier calibration | [
{
"role": "user",
"content": "For technical documentation: Write a short glossary entry for classifier calibration, including one practical consideration."
},
{
"role": "assistant",
"content": "Classifier calibration: checking whether predicted probabilities reflect observed outcome frequencies.... | true | template-generated | unreviewed demonstration sample |
compactlm-0221 | evaluation | GPU inference | [
{
"role": "user",
"content": "For a student project: 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 co... | true | template-generated | unreviewed demonstration sample |
compactlm-0318 | rewriting | hallucination detection | [
{
"role": "user",
"content": "For a small research prototype: Rewrite for clarity: \"We are doing hallucination detection stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating hallucination detection and will consider expanding th... | true | template-generated | unreviewed demonstration sample |
compactlm-0435 | rewriting | training validation | [
{
"role": "user",
"content": "Answer concisely: 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 after rev... | true | template-generated | unreviewed demonstration sample |
compactlm-0174 | summarization | fine-tuning | [
{
"role": "user",
"content": "For a student project: 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 fi... | true | template-generated | unreviewed demonstration sample |
compactlm-0353 | evaluation | retrieval augmentation | [
{
"role": "user",
"content": "For a small research prototype: Give two responsible evaluation checks for a demonstration involving retrieval augmentation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for retrieval augmentation.\n2. Inspect failures and disclose li... | true | template-generated | unreviewed demonstration sample |
compactlm-0526 | summarization | batching | [
{
"role": "user",
"content": "For technical documentation: Summarize this note in a sentence: \"Our team is exploring batching. 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... | true | template-generated | unreviewed demonstration sample |
compactlm-0382 | glossary | on-device AI | [
{
"role": "user",
"content": "Answer concisely: Write a short glossary entry for on-device AI, including one practical consideration."
},
{
"role": "assistant",
"content": "On-device ai: executing AI models locally on a phone, laptop, or other device. In practice, evaluate its benefits and trade... | true | template-generated | unreviewed demonstration sample |
compactlm-0381 | glossary | GPU inference | [
{
"role": "user",
"content": "Answer concisely: Write a short glossary entry for GPU inference, including one practical consideration."
},
{
"role": "assistant",
"content": "Gpu inference: running a trained model on a graphics processor to produce predictions or outputs. In practice, evaluate it... | true | template-generated | unreviewed demonstration sample |
compactlm-0394 | glossary | fine-tuning | [
{
"role": "user",
"content": "Answer concisely: Write a short glossary entry for fine-tuning, including one practical consideration."
},
{
"role": "assistant",
"content": "Fine-tuning: continuing model training on a smaller task- or domain-specific dataset. In practice, evaluate its benefits and... | true | template-generated | unreviewed demonstration sample |
compactlm-0331 | extraction | latency optimization | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing latency optimization and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"latency optimization\", \"next_step\": \"record... | true | template-generated | unreviewed demonstration sample |
compactlm-0311 | rewriting | latency optimization | [
{
"role": "user",
"content": "For a small research prototype: Rewrite for clarity: \"We are doing latency optimization stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating latency optimization and will consider expanding the expe... | true | template-generated | unreviewed demonstration sample |
compactlm-0232 | evaluation | memory usage | [
{
"role": "user",
"content": "For a student project: 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 conc... | true | template-generated | unreviewed demonstration sample |
compactlm-0278 | glossary | hallucination detection | [
{
"role": "user",
"content": "For a small research prototype: Write a short glossary entry for hallucination detection, including one practical consideration."
},
{
"role": "assistant",
"content": "Hallucination detection: identifying generated claims that lack support or are incorrect. In pract... | true | template-generated | unreviewed demonstration sample |
compactlm-0047 | summarization | model distillation | [
{
"role": "user",
"content": "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 team will pilot model distillation... | true | template-generated | unreviewed demonstration sample |
compactlm-0293 | summarization | retrieval augmentation | [
{
"role": "user",
"content": "For a small research prototype: Summarize this note in a sentence: \"Our team is exploring retrieval augmentation. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "Th... | true | template-generated | unreviewed demonstration sample |
compactlm-0004 | definition | embedding search | [
{
"role": "user",
"content": "Explain embedding search in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Embedding search means retrieving items using similarity between numerical vector representations."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0531 | summarization | latency optimization | [
{
"role": "user",
"content": "For technical documentation: Summarize this note in a sentence: \"Our team is exploring latency optimization. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The tea... | true | template-generated | unreviewed demonstration sample |
compactlm-0346 | evaluation | batching | [
{
"role": "user",
"content": "For a small research prototype: 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 con... | true | template-generated | unreviewed demonstration sample |
compactlm-0315 | rewriting | training validation | [
{
"role": "user",
"content": "For a small research prototype: 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 experi... | true | template-generated | unreviewed demonstration sample |
compactlm-0199 | rewriting | classifier calibration | [
{
"role": "user",
"content": "For a student project: 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 experimen... | true | template-generated | unreviewed demonstration sample |
compactlm-0103 | evaluation | tokenization | [
{
"role": "user",
"content": "Give two responsible evaluation checks for a demonstration involving tokenization."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for tokenization.\n2. Inspect failures and disclose limitations before drawing conclusions."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0132 | definition | memory usage | [
{
"role": "user",
"content": "For a student project: 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-0600 | evaluation | synthetic datasets | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving synthetic datasets."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for synthetic datasets.\n2. Inspect failures and disclose limitations b... | true | template-generated | unreviewed demonstration sample |
compactlm-0067 | rewriting | model distillation | [
{
"role": "user",
"content": "Rewrite for clarity: \"We are doing model distillation stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating model distillation and will consider expanding the experiment after reviewing the results."... | true | template-generated | unreviewed demonstration sample |
compactlm-0108 | evaluation | dataset curation | [
{
"role": "user",
"content": "Give two responsible evaluation checks for a demonstration involving dataset curation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for dataset curation.\n2. Inspect failures and disclose limitations before drawing conclusions."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0576 | extraction | context windows | [
{
"role": "user",
"content": "For technical documentation: Extract the focus area and next step as JSON from: \"We are testing context windows and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"context windows\", \"next_step\": \"record latency and ... | true | template-generated | unreviewed demonstration sample |
compactlm-0073 | rewriting | retrieval augmentation | [
{
"role": "user",
"content": "Rewrite for clarity: \"We are doing retrieval augmentation stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating retrieval augmentation and will consider expanding the experiment after reviewing the r... | true | template-generated | unreviewed demonstration sample |
compactlm-0173 | summarization | retrieval augmentation | [
{
"role": "user",
"content": "For a student project: Summarize this note in a sentence: \"Our team is exploring retrieval augmentation. 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-0484 | definition | embedding search | [
{
"role": "user",
"content": "For technical documentation: Explain embedding search in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Embedding search means retrieving items using similarity between numerical vector representations."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0583 | evaluation | tokenization | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving tokenization."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for tokenization.\n2. Inspect failures and disclose limitations before drawin... | true | template-generated | unreviewed demonstration sample |
compactlm-0049 | summarization | prompt evaluation | [
{
"role": "user",
"content": "Summarize this note in a sentence: \"Our team is exploring prompt evaluation. 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 prompt evaluation, ... | true | template-generated | unreviewed demonstration sample |
compactlm-0469 | evaluation | prompt evaluation | [
{
"role": "user",
"content": "Answer concisely: Give two responsible evaluation checks for a demonstration involving prompt evaluation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for prompt evaluation.\n2. Inspect failures and disclose limitations before drawing... | true | template-generated | unreviewed demonstration sample |
compactlm-0153 | glossary | retrieval augmentation | [
{
"role": "user",
"content": "For a student project: Write a short glossary entry for retrieval augmentation, including one practical consideration."
},
{
"role": "assistant",
"content": "Retrieval augmentation: supplementing generation with information retrieved from an external collection. In ... | true | template-generated | unreviewed demonstration sample |
compactlm-0026 | glossary | batching | [
{
"role": "user",
"content": "Write a short glossary entry for batching, including one practical consideration."
},
{
"role": "assistant",
"content": "Batching: processing multiple requests together to improve hardware utilization. In practice, evaluate its benefits and trade-offs using measurem... | true | template-generated | unreviewed demonstration sample |
compactlm-0258 | definition | hallucination detection | [
{
"role": "user",
"content": "For a small research prototype: Explain hallucination detection in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Hallucination detection means identifying generated claims that lack support or are incorrect."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0271 | glossary | latency optimization | [
{
"role": "user",
"content": "For a small research prototype: 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 practi... | true | template-generated | unreviewed demonstration sample |
compactlm-0081 | extraction | GPU inference | [
{
"role": "user",
"content": "Extract the focus area and next step as JSON from: \"We are testing GPU inference and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"GPU inference\", \"next_step\": \"record latency and accuracy\"}"
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0548 | rewriting | dataset curation | [
{
"role": "user",
"content": "For technical documentation: 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 afte... | true | template-generated | unreviewed demonstration sample |
compactlm-0054 | summarization | fine-tuning | [
{
"role": "user",
"content": "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-tuning, measure outc... | true | template-generated | unreviewed demonstration sample |
compactlm-0097 | extraction | model deployment | [
{
"role": "user",
"content": "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 accuracy\"}"
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0459 | extraction | classifier calibration | [
{
"role": "user",
"content": "Answer concisely: Extract the focus area and next step as JSON from: \"We are testing classifier calibration and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"classifier calibration\", \"next_step\": \"record latency a... | true | template-generated | unreviewed demonstration sample |
compactlm-0167 | summarization | model distillation | [
{
"role": "user",
"content": "For a student project: 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 team will p... | true | template-generated | unreviewed demonstration sample |
compactlm-0261 | glossary | GPU inference | [
{
"role": "user",
"content": "For a small research prototype: Write a short glossary entry for GPU inference, including one practical consideration."
},
{
"role": "assistant",
"content": "Gpu inference: running a trained model on a graphics processor to produce predictions or outputs. In practic... | true | template-generated | unreviewed demonstration sample |
compactlm-0025 | glossary | quantization | [
{
"role": "user",
"content": "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 benefits and trade-offs u... | true | template-generated | unreviewed demonstration sample |
compactlm-0332 | extraction | memory usage | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing memory usage and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"memory usage\", \"next_step\": \"record latency and acc... | true | template-generated | unreviewed demonstration sample |
compactlm-0057 | summarization | model deployment | [
{
"role": "user",
"content": "Summarize this note in a sentence: \"Our team is exploring model deployment. 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 model deployment, me... | true | template-generated | unreviewed demonstration sample |
compactlm-0587 | evaluation | model distillation | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving model distillation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for model distillation.\n2. Inspect failures and disclose limitations b... | true | template-generated | unreviewed demonstration sample |
compactlm-0352 | evaluation | memory usage | [
{
"role": "user",
"content": "For a small research prototype: 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 dra... | true | template-generated | unreviewed demonstration sample |
compactlm-0250 | definition | code generation | [
{
"role": "user",
"content": "For a small research prototype: Explain code generation in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Code generation means producing programming code from natural-language or other input."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0017 | definition | model deployment | [
{
"role": "user",
"content": "Explain model deployment in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Model deployment means making a model available for use in an application or service."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0585 | evaluation | quantization | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving quantization."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for quantization.\n2. Inspect failures and disclose limitations before drawin... | true | template-generated | unreviewed demonstration sample |
compactlm-0440 | rewriting | synthetic datasets | [
{
"role": "user",
"content": "Answer concisely: Rewrite for clarity: \"We are doing synthetic datasets stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating synthetic datasets and will consider expanding the experiment after revie... | true | template-generated | unreviewed demonstration sample |
compactlm-0528 | summarization | dataset curation | [
{
"role": "user",
"content": "For technical documentation: Summarize this note in a sentence: \"Our team is exploring dataset curation. 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-0455 | extraction | training validation | [
{
"role": "user",
"content": "Answer concisely: Extract the focus area and next step as JSON from: \"We are testing training validation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"training validation\", \"next_step\": \"record latency and acc... | true | template-generated | unreviewed demonstration sample |
compactlm-0431 | rewriting | latency optimization | [
{
"role": "user",
"content": "Answer concisely: Rewrite for clarity: \"We are doing latency optimization stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating latency optimization and will consider expanding the experiment after r... | true | template-generated | unreviewed demonstration sample |
compactlm-0106 | evaluation | batching | [
{
"role": "user",
"content": "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-0259 | definition | classifier calibration | [
{
"role": "user",
"content": "For a small research prototype: Explain classifier calibration in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Classifier calibration means checking whether predicted probabilities reflect observed outcome frequencies."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0238 | evaluation | hallucination detection | [
{
"role": "user",
"content": "For a student project: Give two responsible evaluation checks for a demonstration involving hallucination detection."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for hallucination detection.\n2. Inspect failures and disclose limitatio... | true | template-generated | unreviewed demonstration sample |
compactlm-0593 | evaluation | retrieval augmentation | [
{
"role": "user",
"content": "For technical documentation: Give two responsible evaluation checks for a demonstration involving retrieval augmentation."
},
{
"role": "assistant",
"content": "1. Record the test setup and baseline for retrieval augmentation.\n2. Inspect failures and disclose limit... | true | template-generated | unreviewed demonstration sample |
compactlm-0267 | glossary | model distillation | [
{
"role": "user",
"content": "For a small research prototype: 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 practic... | true | template-generated | unreviewed demonstration sample |
compactlm-0295 | summarization | training validation | [
{
"role": "user",
"content": "For a small research prototype: Summarize this note in a sentence: \"Our team is exploring training validation. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The t... | true | template-generated | unreviewed demonstration sample |
compactlm-0076 | rewriting | context windows | [
{
"role": "user",
"content": "Rewrite for clarity: \"We are doing context windows stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating context windows and will consider expanding the experiment after reviewing the results."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0086 | extraction | batching | [
{
"role": "user",
"content": "Extract the focus area and next step as JSON from: \"We are testing batching and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"batching\", \"next_step\": \"record latency and accuracy\"}"
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0060 | summarization | synthetic datasets | [
{
"role": "user",
"content": "Summarize this note in a sentence: \"Our team is exploring synthetic datasets. 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 synthetic datasets... | true | template-generated | unreviewed demonstration sample |
compactlm-0533 | summarization | retrieval augmentation | [
{
"role": "user",
"content": "For technical documentation: Summarize this note in a sentence: \"Our team is exploring retrieval augmentation. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The t... | true | template-generated | unreviewed demonstration sample |
compactlm-0434 | rewriting | fine-tuning | [
{
"role": "user",
"content": "Answer concisely: Rewrite for clarity: \"We are doing fine-tuning stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating fine-tuning and will consider expanding the experiment after reviewing the resul... | true | template-generated | unreviewed demonstration sample |
compactlm-0321 | extraction | GPU inference | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing GPU inference and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"GPU inference\", \"next_step\": \"record latency and a... | true | template-generated | unreviewed demonstration sample |
compactlm-0066 | rewriting | batching | [
{
"role": "user",
"content": "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 results."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0001 | definition | GPU inference | [
{
"role": "user",
"content": "Explain GPU inference in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Gpu inference means running a trained model on a graphics processor to produce predictions or outputs."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0288 | summarization | dataset curation | [
{
"role": "user",
"content": "For a small research prototype: Summarize this note in a sentence: \"Our team is exploring dataset curation. We plan to test it on a small dataset first, measure the result, and document limitations before expanding.\""
},
{
"role": "assistant",
"content": "The team... | true | template-generated | unreviewed demonstration sample |
compactlm-0043 | summarization | tokenization | [
{
"role": "user",
"content": "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 will pilot tokenization, measure ou... | true | template-generated | unreviewed demonstration sample |
compactlm-0244 | definition | embedding search | [
{
"role": "user",
"content": "For a small research prototype: Explain embedding search in one sentence for a beginner."
},
{
"role": "assistant",
"content": "Embedding search means retrieving items using similarity between numerical vector representations."
}
] | true | template-generated | unreviewed demonstration sample |
compactlm-0574 | extraction | fine-tuning | [
{
"role": "user",
"content": "For technical documentation: 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-0329 | extraction | prompt evaluation | [
{
"role": "user",
"content": "For a small research prototype: Extract the focus area and next step as JSON from: \"We are testing prompt evaluation and will record latency and accuracy.\""
},
{
"role": "assistant",
"content": "{\"focus_area\": \"prompt evaluation\", \"next_step\": \"record laten... | true | template-generated | unreviewed demonstration sample |
compactlm-0543 | rewriting | tokenization | [
{
"role": "user",
"content": "For technical documentation: Rewrite for clarity: \"We are doing tokenization stuff and checking if it is good, maybe we try bigger later.\""
},
{
"role": "assistant",
"content": "We are evaluating tokenization and will consider expanding the experiment after review... | true | template-generated | unreviewed demonstration sample |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.