geodesic-research/sep
geodesic-research/sep 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/sep", "<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… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/sep.
geodesic-research/sep
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/sep", "<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
Provenance
sep
Source: GitHub: egozverev/Should-It-Be-Executed-Or-Processed (pinned commit 7606c0696f20) (see sep.yaml). Transform: map_column → map_column → project
python -m dataset_builder configs/sep.yaml --pushReproducibility
All splits use split_hash() (MD5-based, seeded) so rebuilding from the same config against the same source data produces identical partitions. For an LLM-generated dataset, a provider'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`.
