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Update README.md
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README.md
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dtype: float64
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splits:
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- name: train
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num_examples: 3027628
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download_size: 2038476796
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dataset_size: 5265441041
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rai:dataLimitations: >
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- Coverage is not exhaustive. LOCUS v1.0 does not represent every U.S.
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municipal or county jurisdiction, and jurisdictions vary in how completely
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human-validated. Label noise should be expected, particularly at taxonomy
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boundaries (e.g., Rules vs. Process, Buildings vs. Zoning).
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- The `is_substantive` field is derived deterministically from `function` and
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inherits any errors in function labeling.
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-
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- The topic taxonomy is intentionally coarse (Buildings, Business, Nuisance,
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Zoning, Other) and does not capture fine-grained subject matter important for
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some downstream tasks.
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-
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- Header-only rows are retained in the dataset but are not appropriate inputs
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for substantive classification and are explicitly excluded from model
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inference.
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- Local law changes over time. The dataset reflects a snapshot and may not
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match the current law of any given jurisdiction.
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rai:dataBiases: >
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dtype: float64
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splits:
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- name: train
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num_examples: 2211516
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rai:dataLimitations: >
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- Coverage is not exhaustive. LOCUS v1.0 does not represent every U.S.
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| 54 |
municipal or county jurisdiction, and jurisdictions vary in how completely
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|
|
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| 58 |
human-validated. Label noise should be expected, particularly at taxonomy
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boundaries (e.g., Rules vs. Process, Buildings vs. Zoning).
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| 60 |
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|
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| 61 |
- The topic taxonomy is intentionally coarse (Buildings, Business, Nuisance,
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| 62 |
Zoning, Other) and does not capture fine-grained subject matter important for
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| 63 |
some downstream tasks.
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| 64 |
+
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| 65 |
- Local law changes over time. The dataset reflects a snapshot and may not
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| 66 |
match the current law of any given jurisdiction.
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| 67 |
rai:dataBiases: >
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