Add README with explicit YAML schema to fix DatasetGenerationError (matched_pair_id string vs null)
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README.md
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---
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: text
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dtype: string
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- name: label
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dtype: int32
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- name: domain
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dtype: string
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- name: token_count
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dtype: int32
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- name: matched_pair_id
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dtype: string
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- name: split
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dtype: string
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splits:
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- name: train
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num_examples: -1
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- name: test
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num_examples: -1
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "corpora/*/train_*.jsonl"
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- split: test
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path: "corpora/*/test_*.jsonl"
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---
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# PoolBench
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**PoolBench** is a benchmark for evaluating 19 hidden-state pooling strategies for activation steering across 17 text concepts and 7 language models.
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Each concept corpus contains up to 1,000 passages per class (700 train / 300 test) sourced from real public datasets on HuggingFace. No passages are LLM-generated.
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## Dataset structure
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Files are organised as `data/corpora/<concept>/{train,test}_{pos,neg}.jsonl`.
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Each JSON line has the following fields:
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| Field | Type | Description |
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|---|---|---|
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| `id` | string | Unique record identifier |
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| `text` | string | Passage text (300–500 tokens via LLaMA-3.1-8B tokenizer) |
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| `label` | int | 1 = concept present (positive), 0 = concept absent (negative) |
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| `domain` | string | Source domain (e.g. `academic`, `news`, `social`) |
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| `token_count` | int | Token count (LLaMA-3.1-8B tokenizer) |
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| `matched_pair_id` | string | Pair ID for matched-pair concepts; `null` for independently-sampled concepts |
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| `split` | string | `train` or `test` |
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## Concepts (17)
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`academic_tone`, `bureaucratic`, `causation`, `code_docs`, `conditionality`, `contrast`, `deference`, `depression`, `frustration`, `hedging`, `imdb_sentiment`, `legal_formality`, `narrative`, `negation_density`, `numerical_precision`, `planning`, `toxicity`
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## Citation
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```bibtex
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@misc{poolbench2026,
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title={PoolBench: Evaluating Pooling Strategies for Activation Steering Vectors},
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author={Anonymous},
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year={2026},
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note={NeurIPS 2026 Datasets and Benchmarks Track}
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}
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```
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