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Update README.md

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@@ -48,10 +48,7 @@ dataset_info:
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  dtype: float64
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  splits:
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  - name: train
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- num_bytes: 5265441041
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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
@@ -61,17 +58,10 @@ rai:dataLimitations: >
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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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-
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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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  municipal or county jurisdiction, and jurisdictions vary in how completely
 
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  human-validated. Label noise should be expected, particularly at taxonomy
59
  boundaries (e.g., Rules vs. Process, Buildings vs. Zoning).
60
 
 
 
 
61
  - The topic taxonomy is intentionally coarse (Buildings, Business, Nuisance,
62
  Zoning, Other) and does not capture fine-grained subject matter important for
63
  some downstream tasks.
64
+
 
 
 
 
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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: >