Datasets:

geodesic-research
/

vea-uplift-2x2

dataset_info:
  - config_name: nontask_con1
    features:
      - name: id
        dtype: string
      - name: prompt
        dtype: string
      - name: if_ground_truth
        dtype: string
      - name: key
        dtype: string
      - name: spec_key
        dtype: string
      - name: original_dataset
        dtype: string
      - name: cell
        dtype: string
      - name: cell_n_constraints
        dtype: int64
      - name: rank_random
        dtype: int64
    splits:
      - name: train
        num_bytes: 10471
        num_examples: 32
    download_size: 10036
    dataset_size: 10471
  - config_name: nontask_con3
    features:
      - name: id
        dtype: string
      - name: prompt
        dtype: string
      - name: if_ground_truth
        dtype: string
      - name: key
        dtype: string
      - name: spec_key
        dtype: string
      - name: original_dataset
        dtype: string
      - name: cell
        dtype: string
      - name: cell_n_constraints
        dtype: int64
      - name: rank_random
        dtype: int64
    splits:
      - name: train
        num_bytes: 18909
        num_examples: 32
    download_size: 13461
    dataset_size: 18909
  - config_name: task_con1
    features:
      - name: id
        dtype: string
      - name: prompt
        dtype: string
      - name: if_ground_truth
        dtype: string
      - name: key
        dtype: string
      - name: spec_key
        dtype: string
      - name: original_dataset
        dtype: string
      - name: cell
        dtype: string
      - name: cell_n_constraints
        dtype: int64
      - name: rank_random
        dtype: int64
    splits:
      - name: train
        num_bytes: 40229
        num_examples: 32
    download_size: 30347
    dataset_size: 40229
  - config_name: task_con3
    features:
      - name: id
        dtype: string
      - name: prompt
        dtype: string
      - name: if_ground_truth
        dtype: string
      - name: key
        dtype: string
      - name: spec_key
        dtype: string
      - name: original_dataset
        dtype: string
      - name: cell
        dtype: string
      - name: cell_n_constraints
        dtype: int64
      - name: rank_random
        dtype: int64
    splits:
      - name: train
        num_bytes: 48667
        num_examples: 32
    download_size: 33820
    dataset_size: 48667
language:
  - en
license: other
tags:
  - rl
  - alignment
  - evaluation
size_categories:
  - 1K<n<100K
configs:
  - config_name: nontask_con1
    data_files:
      - split: train
        path: nontask_con1/train-*
  - config_name: nontask_con3
    data_files:
      - split: train
        path: nontask_con3/train-*
  - config_name: task_con1
    data_files:
      - split: train
        path: task_con1/train-*
  - config_name: task_con3
    data_files:
      - split: train
        path: task_con3/train-*

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

Config	Source	Transform	Splits
`nontask_con1`	?	`map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project`	none
`nontask_con3`	?	`map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project`	none
`task_con1`	?	`map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project`	none
`task_con3`	?	`map_column → map_column → map_column → map_column → map_column → map_column → map_column → map_column → hook → project`	none

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

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

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

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

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.