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Add README with explicit YAML schema to fix DatasetGenerationError (matched_pair_id string vs null)

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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # PoolBench
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+
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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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+
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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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+
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+ ## Dataset structure
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+
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+ Files are organised as `data/corpora/<concept>/{train,test}_{pos,neg}.jsonl`.
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+
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+ Each JSON line has the following fields:
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+
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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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+
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+ ## Concepts (17)
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+
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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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+
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+ ## Citation
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+
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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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+ ```