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Dataset card: document VITW columns

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  1. README.md +24 -2
README.md CHANGED
@@ -19,6 +19,18 @@ dataset_info:
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  dtype: string
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  - name: description
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  dtype: string
 
 
 
 
 
 
 
 
 
 
 
 
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  splits:
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  - name: train
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  num_bytes: 150491
@@ -51,6 +63,16 @@ One row per value:
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  | `value` | short name, a slug of the Values in the Wild L1 cluster name |
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  | `cluster` | one of `Attunement`, `Rigor`, `Integrity`, `Stewardship` |
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  | `description` | the one-sentence value description the persona vectors were extracted from |
 
 
 
 
 
 
 
 
 
 
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  ```python
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  from datasets import load_dataset
@@ -75,8 +97,8 @@ Each cluster is named after its medoid value.
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  present-tense statement of how an assistant behaves when it holds the value (e.g.
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  `accessibility`: "using inclusive communication and representation to enable equal
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  participation and acceptance…"). The keys are slugs of the original L1 names. One
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- name appears under two L2 parents, so the second copy has its L2 parent's slug
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- added as a suffix.
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  2. **Persona vectors.** One persona vector per value, extracted from
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  OLMo-3.1-32B-Instruct-SFT with the
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  [persona vectors](https://github.com/safety-research/persona_vectors) recipe.
 
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  dtype: string
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  - name: description
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  dtype: string
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+ - name: vitw_cluster_id
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+ dtype: string
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+ - name: vitw_name
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+ dtype: string
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+ - name: vitw_description
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+ dtype: string
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+ - name: vitw_l2
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+ dtype: string
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+ - name: vitw_l3
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+ dtype: string
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+ - name: vitw_pct_occurrences
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+ dtype: float64
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  splits:
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  - name: train
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  num_bytes: 150491
 
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  | `value` | short name, a slug of the Values in the Wild L1 cluster name |
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  | `cluster` | one of `Attunement`, `Rigor`, `Integrity`, `Stewardship` |
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  | `description` | the one-sentence value description the persona vectors were extracted from |
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+ | `vitw_cluster_id` | the value's Values in the Wild L1 `cluster_id`, the exact join key into upstream `values_tree.csv` |
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+ | `vitw_name` | the original L1 cluster name |
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+ | `vitw_description` | Anthropic's original L1 description, which `description` was rewritten from |
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+ | `vitw_l2` | the L1 cluster's L2 parent |
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+ | `vitw_l3` | the L3 top-level category (Practical, Epistemic, Social, Protective or Personal values) |
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+ | `vitw_pct_occurrences` | upstream `pct_total_occurrences` for the L1 cluster |
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+
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+ Join on `vitw_cluster_id`, not on names: two different L1 clusters are both named
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+ "Environmental stewardship". To get the leaf values inside a cluster, select the rows of
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+ upstream `values_tree.csv` whose `parent_cluster_id` equals `vitw_cluster_id`.
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  ```python
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  from datasets import load_dataset
 
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  present-tense statement of how an assistant behaves when it holds the value (e.g.
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  `accessibility`: "using inclusive communication and representation to enable equal
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  participation and acceptance…"). The keys are slugs of the original L1 names. One
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+ name ("Environmental stewardship") appears under two L2 parents, so both copies
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+ have their L2 parent's slug added as a suffix.
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  2. **Persona vectors.** One persona vector per value, extracted from
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  OLMo-3.1-32B-Instruct-SFT with the
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  [persona vectors](https://github.com/safety-research/persona_vectors) recipe.