CoolFace
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geodesic-research/vea-uplift-2x2

geodesic-research/vea-uplift-2x2 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/vea-uplift-2x2", "<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… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/vea-uplift-2x2.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

geodesic-research/vea-uplift-2x2

Auto-generated by `dataset-builder`. Each config below is a separate dataset produced from a versioned YAML build config. Load with:

python
from datasets import load_dataset

ds = load_dataset("geodesic-research/vea-uplift-2x2", "<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

ConfigSourceTransformSplits
nontask_con1?map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → projectnone
nontask_con3?map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → projectnone
task_con1?map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → projectnone
task_con3?map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → projectnone

Provenance

nontask_con1

Source: jsonl_file (see nontask_con1.yaml). Transform: map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project

bash
python -m dataset_builder configs/nontask_con1.yaml --push

nontask_con3

Source: jsonl_file (see nontask_con3.yaml). Transform: map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project

bash
python -m dataset_builder configs/nontask_con3.yaml --push

task_con1

Source: jsonl_file (see task_con1.yaml). Transform: map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project

bash
python -m dataset_builder configs/task_con1.yaml --push

task_con3

Source: jsonl_file (see task_con3.yaml). Transform: map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project

bash
python -m dataset_builder configs/task_con3.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 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`.