metagaming-labeling / README.md
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---
dataset_info:
- config_name: annotations
features:
- name: id
dtype: string
- name: doc_set
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- name: status
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- name: spans
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language:
- en
license: other
tags:
- rl
- alignment
- evaluation
size_categories:
- 1K<n<100K
configs:
- config_name: annotations
data_files:
- split: eval
path: annotations/eval-*
- config_name: claude_AI_forget
data_files:
- split: eval
path: claude_AI_forget/eval-*
- config_name: claude_AI_mix
data_files:
- split: eval
path: claude_AI_mix/eval-*
- config_name: claude_general_retain
data_files:
- split: eval
path: claude_general_retain/eval-*
- config_name: claude_human_forget
data_files:
- split: eval
path: claude_human_forget/eval-*
- config_name: ctl_dolci_instruct
data_files:
- split: eval
path: ctl_dolci_instruct/eval-*
- config_name: ctl_dolci_think
data_files:
- split: eval
path: ctl_dolci_think/eval-*
- config_name: ctl_fineweb
data_files:
- split: eval
path: ctl_fineweb/eval-*
- config_name: ctl_swe
data_files:
- split: eval
path: ctl_swe/eval-*
- config_name: ctl_swe_tests
data_files:
- split: eval
path: ctl_swe_tests/eval-*
- config_name: ctl_wildchat
data_files:
- split: eval
path: ctl_wildchat/eval-*
- config_name: dense_c1_ai_evals
data_files:
- split: eval
path: dense_c1_ai_evals/eval-*
- config_name: dense_c1_ai_evals_pooled
data_files:
- split: train
path: dense_c1_ai_evals_pooled/train-*
- split: eval
path: dense_c1_ai_evals_pooled/eval-*
- config_name: dense_c2_ai_safety
data_files:
- split: eval
path: dense_c2_ai_safety/eval-*
- config_name: dense_c2_ai_safety_pooled
data_files:
- split: train
path: dense_c2_ai_safety_pooled/train-*
- split: eval
path: dense_c2_ai_safety_pooled/eval-*
- config_name: dense_c3_human_oversight
data_files:
- split: eval
path: dense_c3_human_oversight/eval-*
- config_name: dense_c3_human_oversight_pooled
data_files:
- split: train
path: dense_c3_human_oversight_pooled/train-*
- split: eval
path: dense_c3_human_oversight_pooled/eval-*
- config_name: dense_c4_training_mechanics
data_files:
- split: eval
path: dense_c4_training_mechanics/eval-*
- config_name: dense_c4_training_mechanics_pooled
data_files:
- split: train
path: dense_c4_training_mechanics_pooled/train-*
- split: eval
path: dense_c4_training_mechanics_pooled/eval-*
- config_name: dense_c5_swe_tests
data_files:
- split: eval
path: dense_c5_swe_tests/eval-*
- config_name: dense_c5_swe_tests_pooled
data_files:
- split: train
path: dense_c5_swe_tests_pooled/train-*
- split: eval
path: dense_c5_swe_tests_pooled/eval-*
- config_name: dense_retain_far
data_files:
- split: eval
path: dense_retain_far/eval-*
- config_name: frontier_metagame_rollouts
data_files:
- split: eval
path: frontier_metagame_rollouts/eval-*
- config_name: kimi_agentic_rollouts
data_files:
- split: eval
path: kimi_agentic_rollouts/eval-*
- config_name: kimi_metagame_rollouts
data_files:
- split: eval
path: kimi_metagame_rollouts/eval-*
- config_name: low_quality_synthetic_annotated
data_files:
- split: eval
path: low_quality_synthetic_annotated/eval-*
- config_name: needham_eval_awareness
data_files:
- split: eval
path: needham_eval_awareness/eval-*
- config_name: needham_eval_grading
data_files:
- split: eval
path: needham_eval_grading/eval-*
- config_name: westover_general_split
data_files:
- split: eval
path: westover_general_split/eval-*
- config_name: westover_metagame_split
data_files:
- split: eval
path: westover_metagame_split/eval-*
---
# camgeodesic/metagaming-labeling
Auto-generated by [`dataset-builder`](https://github.com/GeodesicResearch/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("camgeodesic/metagaming-labeling", "<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 |
|--------|--------|-----------|--------|
| `annotations` | `camgeodesic/metagaming-labeling` | none | eval only |
| `claude_AI_forget` | `camgeodesic/metagaming-labeling` | `map_column → project` | eval only |
| `claude_AI_mix` | `camgeodesic/metagaming-labeling` | `map_column → project` | eval only |
| `claude_general_retain` | `camgeodesic/metagaming-labeling` | `map_column → project` | eval only |
| `claude_human_forget` | `camgeodesic/metagaming-labeling` | `map_column → project` | eval only |
| `dense_c1_ai_evals` | ? | `map_column → project` | eval only |
| `dense_c1_ai_evals_pooled` | ? | `json_file → concat → map_column → project` | 24 eval, 0 val |
| `dense_c2_ai_safety` | ? | `map_column → project` | eval only |
| `dense_c2_ai_safety_pooled` | ? | `json_file → concat → map_column → project` | 24 eval, 0 val |
| `dense_c3_human_oversight` | ? | `map_column → project` | eval only |
| `dense_c3_human_oversight_pooled` | ? | `json_file → concat → map_column → project` | 24 eval, 0 val |
| `dense_c4_training_mechanics` | ? | `map_column → project` | eval only |
| `dense_c4_training_mechanics_pooled` | ? | `json_file → concat → map_column → project` | 24 eval, 0 val |
| `dense_c5_swe_tests` | ? | `map_column → project` | eval only |
| `dense_c5_swe_tests_pooled` | ? | `json_file → concat → map_column → project` | 24 eval, 0 val |
| `dense_retain_far` | ? | `map_column → project` | eval only |
| `frontier_metagame_rollouts` | ? | `map_column → map_column → map_column → project` | eval only |
| `kimi_metagame_rollouts` | `camgeodesic/kimi-chat-rollouts` | `map_column → map_column → map_column → map_column → map_column → map_column → project → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → map_column → project → concat` | eval only |
| `needham_eval_awareness` | `camgeodesic/metagaming-labeling` | none | eval only |
| `westover_general_split` | `camgeodesic/metagaming-labeling` | `map_column → project` | eval only |
| `westover_metagame_split` | `camgeodesic/metagaming-labeling` | `map_column → project` | eval only |
## Provenance
### `annotations`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
```bash
python -m dataset_builder configs/annotations.yaml --push
```
### `claude_AI_forget`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/claude_AI_forget.yaml --push
```
### `claude_AI_mix`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/claude_AI_mix.yaml --push
```
### `claude_general_retain`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/claude_general_retain.yaml --push
```
### `claude_human_forget`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/claude_human_forget.yaml --push
```
### `dense_c1_ai_evals`
**Source:** `json_file` (see `dense_c1_ai_evals.yaml`).
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/dense_c1_ai_evals.yaml --push
```
### `dense_c1_ai_evals_pooled`
**Source:** `json_file` (see `dense_c1_ai_evals_pooled.yaml`).
**Transform:** `json_file → concat → map_column → project`
**Split hash field:** `id` (sibling configs sharing this field land on identical val/eval rows).
**Stratification:** `topic`, `doc_type`
**Seeds:** eval=42, val=43
```bash
python -m dataset_builder configs/dense_c1_ai_evals_pooled.yaml --push
```
### `dense_c2_ai_safety`
**Source:** `json_file` (see `dense_c2_ai_safety.yaml`).
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/dense_c2_ai_safety.yaml --push
```
### `dense_c2_ai_safety_pooled`
**Source:** `json_file` (see `dense_c2_ai_safety_pooled.yaml`).
**Transform:** `json_file → concat → map_column → project`
**Split hash field:** `id` (sibling configs sharing this field land on identical val/eval rows).
**Stratification:** `topic`, `doc_type`
**Seeds:** eval=42, val=43
```bash
python -m dataset_builder configs/dense_c2_ai_safety_pooled.yaml --push
```
### `dense_c3_human_oversight`
**Source:** `json_file` (see `dense_c3_human_oversight.yaml`).
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/dense_c3_human_oversight.yaml --push
```
### `dense_c3_human_oversight_pooled`
**Source:** `json_file` (see `dense_c3_human_oversight_pooled.yaml`).
**Transform:** `json_file → concat → map_column → project`
**Split hash field:** `id` (sibling configs sharing this field land on identical val/eval rows).
**Stratification:** `topic`, `doc_type`
**Seeds:** eval=42, val=43
```bash
python -m dataset_builder configs/dense_c3_human_oversight_pooled.yaml --push
```
### `dense_c4_training_mechanics`
**Source:** `json_file` (see `dense_c4_training_mechanics.yaml`).
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/dense_c4_training_mechanics.yaml --push
```
### `dense_c4_training_mechanics_pooled`
**Source:** `json_file` (see `dense_c4_training_mechanics_pooled.yaml`).
**Transform:** `json_file → concat → map_column → project`
**Split hash field:** `id` (sibling configs sharing this field land on identical val/eval rows).
**Stratification:** `topic`, `doc_type`
**Seeds:** eval=42, val=43
```bash
python -m dataset_builder configs/dense_c4_training_mechanics_pooled.yaml --push
```
### `dense_c5_swe_tests`
**Source:** `json_file` (see `dense_c5_swe_tests.yaml`).
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/dense_c5_swe_tests.yaml --push
```
### `dense_c5_swe_tests_pooled`
**Source:** `json_file` (see `dense_c5_swe_tests_pooled.yaml`).
**Transform:** `json_file → concat → map_column → project`
**Split hash field:** `id` (sibling configs sharing this field land on identical val/eval rows).
**Stratification:** `topic`, `doc_type`
**Seeds:** eval=42, val=43
```bash
python -m dataset_builder configs/dense_c5_swe_tests_pooled.yaml --push
```
### `dense_retain_far`
**Source:** `json_file` (see `dense_retain_far.yaml`).
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/dense_retain_far.yaml --push
```
### `frontier_metagame_rollouts`
**Source:** `jsonl_file` (see `frontier_metagame_rollouts.yaml`).
**Transform:** `map_column → map_column → map_column → project`
```bash
python -m dataset_builder configs/frontier_metagame_rollouts.yaml --push
```
### `kimi_metagame_rollouts`
**Source:** [`camgeodesic/kimi-chat-rollouts`](https://huggingface.co/datasets/camgeodesic/kimi-chat-rollouts)
**Transform:** `map_column → map_column → map_column → map_column → map_column → map_column → project → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → project → concat → hf → map_column → map_column → map_column → map_column → map_column → map_column → map_column → project → concat`
```bash
python -m dataset_builder configs/kimi_metagame_rollouts.yaml --push
```
### `needham_eval_awareness`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
```bash
python -m dataset_builder configs/needham_eval_awareness.yaml --push
```
### `westover_general_split`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/westover_general_split.yaml --push
```
### `westover_metagame_split`
**Source:** [`camgeodesic/metagaming-labeling`](https://huggingface.co/datasets/camgeodesic/metagaming-labeling)
**Transform:** `map_column → project`
```bash
python -m dataset_builder configs/westover_metagame_split.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`.*