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geodesic-research/teaching-claude-why
Auto-generated by dataset-builder.
Each config below is a separate dataset produced from a versioned YAML build
config. Load with:
from datasets import load_dataset
ds = load_dataset("geodesic-research/teaching-claude-why", "<config_name>", revision="<commit-sha>")
Pin revision= to the specific commit SHA you want; without it, you get the
current HEAD of the dataset repo, which may change when the builder re-pushes.
Configs
| Config | Source | Transform | Splits |
|---|---|---|---|
stories-philosophy-smoke |
? | llm_render_column |
none |
Provenance
stories-philosophy-smoke
Source: range (see stories.yaml).
Transform: llm_render_column
python -m dataset_builder configs/stories.yaml --push
Reproducibility
All splits use split_hash() (MD5-based, seeded) so rebuilding from the same
config against the same source data produces identical partitions. For the
llm_generate source, OpenAI's seed parameter is best-effort; pin
consumer loads to a specific HF commit SHA to avoid drift when the builder
re-pushes.
This card is auto-generated by dataset_builder.cards.
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