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Datasets:
bcv-commons
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constituent-order-profile

Tags:
typology
word-order
multilingual
bible
License:
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constituent-order-profile: batch 1/5 (200 file(s))

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  1. README.md +37 -0
  2. aaz.json +175 -0
  3. aazpkf.json +172 -0
  4. abn.json +260 -0
  5. abnpkf.json +257 -0
  6. abp.json +185 -0
  7. abpwbt.json +182 -0
  8. ace.json +260 -0
  9. aceibs.json +257 -0
  10. adx.json +260 -0
  11. adxnvs.json +257 -0
  12. adz.json +185 -0
  13. adz_png.json +182 -0
  14. aey.json +185 -0
  15. aeypkf.json +182 -0
  16. agu.json +250 -0
  17. agupkf.json +247 -0
  18. ahk.json +200 -0
  19. ahkbiv.json +197 -0
  20. aii.json +175 -0
  21. aii_abt.json +172 -0
  22. als.json +260 -0
  23. alsabv.json +257 -0
  24. aoi.json +180 -0
  25. aoi_bib.json +177 -0
  26. apalgent.json +212 -0
  27. apy.json +260 -0
  28. apypkf.json +257 -0
  29. arb.json +262 -0
  30. arb_vdv.json +257 -0
  31. arbnav.json +257 -0
  32. arbwtc.json +257 -0
  33. asm.json +255 -0
  34. asm_irv.json +252 -0
  35. ata.json +190 -0
  36. atapkf.json +187 -0
  37. atb.json +205 -0
  38. atbwyi.json +202 -0
  39. azb.json +261 -0
  40. azb_bsa.json +257 -0
  41. azbemv.json +257 -0
  42. bam.json +260 -0
  43. bamlsb.json +257 -0
  44. ban.json +260 -0
  45. bandpi.json +257 -0
  46. bba.json +255 -0
  47. bba_sim.json +252 -0
  48. bbc.json +260 -0
  49. bbclai.json +257 -0
  50. bbl.json +257 -0
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc0-1.0
3
+ tags:
4
+ - typology
5
+ - word-order
6
+ - multilingual
7
+ - bible
8
+ ---
9
+
10
+ # constituent-order-profile
11
+
12
+ Per-language constituent-order statistics — how a language reorders Hebrew's clause-level syntax
13
+ (the seven MACULA Hebrew `phrase_role` labels: `v` verb, `s` subject, `o` object, `o2` second object,
14
+ `p` non-verbal predicate, `pp` clause-level prepositional phrase, `adv` adverbial), measured directly
15
+ from alignment data, not asserted from grammar references. Every language aligns to the same Hebrew
16
+ source, so each aligned OT verse is a small parallel-order observation; aggregated over tens of thousands
17
+ of verses per language this yields real, per-language word-order fingerprints — validated against known
18
+ typology (Arabic preserves Hebrew's verb-first `v>s` order 91% of the time; English keeps it only 40%, i.e.
19
+ flips it to subject-first 60% of the time; Indonesian sits at 50%, consistent with its verb-initial narrative
20
+ register; Hindi keeps `v>s` 33% and `v>o` 39%, the signature of a verb-final language).
21
+
22
+ `pair_order_kept`: for each ADJACENT source-order constituent pair (a before b in the Hebrew), the share of
23
+ aligned verses where the target preserved that order. `function_drift`: mean normalized target-position minus
24
+ source-position per constituent label — which constituents a language systematically fronts or defers (the
25
+ key keeps its historical name; the labels are the `phrase_role` values above). Both are computed only from
26
+ cells with >=30 observations (see `constituent_order.py`). A constituent is a maximal run of consecutive
27
+ source tokens with the same clause (the verb they depend on) and `phrase_role`; its target position is the
28
+ mean of its aligned content tokens. Each file carries `label_scheme: "macula_phrase_role"`.
29
+
30
+ **Label vocabulary changed 2026-10-04.** Earlier versions of these files used the ETCBC BHSA `function`
31
+ labels (`Subj`, `Pred`, `Objc`, ...). BHSA is licensed CC BY-NC-SA, so the data was re-derived from the
32
+ CC BY 4.0 MACULA treebank columns only and the BHSA-labelled files were withdrawn. The two vocabularies are
33
+ not interchangeable (7 labels instead of 14+), but the shared pairs agree closely (English verb-then-subject
34
+ kept 0.404 under BHSA, 0.403 under MACULA).
35
+
36
+ OT-only (the MACULA phrase layer is Hebrew-only). **CC0-1.0** — derived alignment statistics, no source text
37
+ redistributed.
aaz.json ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "function_drift": {
3
+ "adv": {
4
+ "mean_drift": -0.0589,
5
+ "n": 223
6
+ },
7
+ "o": {
8
+ "mean_drift": -0.0041,
9
+ "n": 1168
10
+ },
11
+ "o2": {
12
+ "mean_drift": -0.0963,
13
+ "n": 83
14
+ },
15
+ "p": {
16
+ "mean_drift": 0.0126,
17
+ "n": 464
18
+ },
19
+ "pp": {
20
+ "mean_drift": -0.016,
21
+ "n": 1608
22
+ },
23
+ "s": {
24
+ "mean_drift": -0.0176,
25
+ "n": 1719
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+ },
27
+ "v": {
28
+ "mean_drift": 0.007,
29
+ "n": 3766
30
+ }
31
+ },
32
+ "label_scheme": "macula_phrase_role",
33
+ "pair_order_kept": {
34
+ "adv>pp": {
35
+ "kept": 26,
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+ "rate": 0.812,
37
+ "total": 32
38
+ },
39
+ "adv>v": {
40
+ "kept": 79,
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+ "rate": 0.76,
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+ "total": 104
43
+ },
44
+ "o>o": {
45
+ "kept": 28,
46
+ "rate": 0.737,
47
+ "total": 38
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+ },
49
+ "o>o2": {
50
+ "kept": 49,
51
+ "rate": 0.925,
52
+ "total": 53
53
+ },
54
+ "o>pp": {
55
+ "kept": 204,
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+ "rate": 0.761,
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+ "total": 268
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+ },
59
+ "o>s": {
60
+ "kept": 41,
61
+ "rate": 0.804,
62
+ "total": 51
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+ },
64
+ "o>v": {
65
+ "kept": 330,
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+ "rate": 0.721,
67
+ "total": 458
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+ },
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+ "p>pp": {
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+ "kept": 31,
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+ "rate": 0.705,
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+ "total": 44
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+ },
74
+ "p>s": {
75
+ "kept": 65,
76
+ "rate": 0.602,
77
+ "total": 108
78
+ },
79
+ "p>v": {
80
+ "kept": 100,
81
+ "rate": 0.741,
82
+ "total": 135
83
+ },
84
+ "pp>o": {
85
+ "kept": 70,
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+ "rate": 0.686,
87
+ "total": 102
88
+ },
89
+ "pp>p": {
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+ "kept": 53,
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+ "rate": 0.688,
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+ "total": 77
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+ },
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+ "pp>pp": {
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+ "kept": 63,
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+ "rate": 0.692,
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+ "total": 91
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+ },
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+ "pp>s": {
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+ "kept": 117,
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+ "rate": 0.755,
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+ "total": 155
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+ },
104
+ "pp>v": {
105
+ "kept": 500,
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+ "rate": 0.691,
107
+ "total": 724
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+ },
109
+ "s>adv": {
110
+ "kept": 36,
111
+ "rate": 0.75,
112
+ "total": 48
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+ },
114
+ "s>o": {
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+ "kept": 197,
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+ "rate": 0.817,
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+ "total": 241
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+ },
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+ "s>p": {
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+ "kept": 155,
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+ "rate": 0.756,
122
+ "total": 205
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+ },
124
+ "s>pp": {
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+ "kept": 281,
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+ "rate": 0.747,
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+ "total": 376
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+ },
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+ "s>s": {
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+ "kept": 81,
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+ "rate": 0.844,
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+ "total": 96
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+ },
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+ "s>v": {
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+ "kept": 469,
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+ "rate": 0.814,
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+ "total": 576
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+ },
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+ "v>adv": {
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+ "kept": 68,
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+ "rate": 0.687,
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+ "total": 99
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+ },
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+ "v>o": {
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+ "kept": 487,
146
+ "rate": 0.699,
147
+ "total": 697
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+ },
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+ "v>p": {
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+ "kept": 56,
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+ "rate": 0.767,
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+ "total": 73
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+ },
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+ "v>pp": {
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+ "kept": 541,
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+ "rate": 0.763,
157
+ "total": 709
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+ },
159
+ "v>s": {
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+ "kept": 417,
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+ "rate": 0.398,
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+ "total": 1049
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+ },
164
+ "v>v": {
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+ "kept": 593,
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+ "rate": 0.769,
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+ "total": 771
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+ }
169
+ },
170
+ "tag": "aazpkf",
171
+ "tags": [
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+ "aazpkf"
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+ ],
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+ "verses_measured": 1403
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+ }
aazpkf.json ADDED
@@ -0,0 +1,172 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "function_drift": {
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+ "adv": {
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+ "mean_drift": -0.0589,
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+ "n": 223
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+ },
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+ "o": {
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+ "mean_drift": -0.0041,
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+ "n": 1168
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+ },
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+ "o2": {
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+ "mean_drift": -0.0963,
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+ "n": 83
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+ },
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+ "p": {
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+ "mean_drift": 0.0126,
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+ "n": 464
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+ },
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+ "pp": {
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+ "mean_drift": -0.016,
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+ "n": 1608
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+ },
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+ "s": {
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+ "mean_drift": -0.0176,
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+ "n": 1719
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+ },
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+ "v": {
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+ "mean_drift": 0.007,
29
+ "n": 3766
30
+ }
31
+ },
32
+ "label_scheme": "macula_phrase_role",
33
+ "pair_order_kept": {
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+ "adv>pp": {
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+ "kept": 26,
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+ "rate": 0.812,
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+ "total": 32
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+ },
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+ "adv>v": {
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+ "kept": 79,
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+ "rate": 0.76,
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+ "total": 104
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+ },
44
+ "o>o": {
45
+ "kept": 28,
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+ "rate": 0.737,
47
+ "total": 38
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+ },
49
+ "o>o2": {
50
+ "kept": 49,
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+ "rate": 0.925,
52
+ "total": 53
53
+ },
54
+ "o>pp": {
55
+ "kept": 204,
56
+ "rate": 0.761,
57
+ "total": 268
58
+ },
59
+ "o>s": {
60
+ "kept": 41,
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+ "rate": 0.804,
62
+ "total": 51
63
+ },
64
+ "o>v": {
65
+ "kept": 330,
66
+ "rate": 0.721,
67
+ "total": 458
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+ },
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+ "p>pp": {
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+ "kept": 31,
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+ "rate": 0.705,
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+ "total": 44
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+ },
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+ "p>s": {
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+ "kept": 65,
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+ "rate": 0.602,
77
+ "total": 108
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+ },
79
+ "p>v": {
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+ "kept": 100,
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+ "rate": 0.741,
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+ "total": 135
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+ },
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+ "pp>o": {
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+ "kept": 70,
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+ "rate": 0.686,
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+ "total": 102
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+ },
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+ "pp>p": {
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+ "kept": 53,
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+ "rate": 0.688,
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+ "total": 77
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+ },
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+ "pp>pp": {
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+ "kept": 63,
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+ "rate": 0.692,
97
+ "total": 91
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+ },
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+ "pp>s": {
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+ "kept": 117,
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+ "rate": 0.755,
102
+ "total": 155
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+ },
104
+ "pp>v": {
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+ "kept": 500,
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+ "rate": 0.691,
107
+ "total": 724
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+ },
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+ "s>adv": {
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+ "kept": 36,
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+ "rate": 0.75,
112
+ "total": 48
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+ },
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+ "s>o": {
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+ "kept": 197,
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+ "rate": 0.817,
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+ "total": 241
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+ },
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+ "s>p": {
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+ "kept": 155,
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+ "rate": 0.756,
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+ "total": 205
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+ },
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+ "s>pp": {
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+ "kept": 281,
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+ "rate": 0.747,
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+ "total": 376
128
+ },
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+ "s>s": {
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+ "kept": 81,
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+ "rate": 0.844,
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+ "total": 96
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+ },
134
+ "s>v": {
135
+ "kept": 469,
136
+ "rate": 0.814,
137
+ "total": 576
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+ },
139
+ "v>adv": {
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+ "kept": 68,
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+ "rate": 0.687,
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+ "total": 99
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+ },
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+ "v>o": {
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+ "kept": 487,
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+ "rate": 0.699,
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+ "total": 697
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+ },
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+ "v>p": {
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+ "kept": 56,
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+ "rate": 0.767,
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+ "total": 73
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+ },
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+ "v>pp": {
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+ "kept": 541,
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+ "rate": 0.763,
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+ "total": 709
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+ },
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+ "v>s": {
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+ "kept": 417,
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+ "rate": 0.398,
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+ "total": 1049
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+ },
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+ "v>v": {
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+ "kept": 593,
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+ "rate": 0.769,
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+ "total": 771
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+ }
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+ },
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+ "tag": "aazpkf",
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+ "verses_measured": 1403
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+ }
abn.json ADDED
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1
+ {
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+ "function_drift": {
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+ "adv": {
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+ "mean_drift": 0.0008,
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+ "n": 3835
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+ },
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+ "o": {
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+ "mean_drift": 0.0134,
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+ "n": 18458
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+ },
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+ "o2": {
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+ "mean_drift": 0.0125,
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+ "n": 811
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+ },
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+ "p": {
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+ "mean_drift": 0.0232,
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+ "n": 7472
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+ },
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+ "pp": {
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+ "mean_drift": 0.0025,
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+ "n": 28804
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+ },
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+ "s": {
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+ "mean_drift": -0.0165,
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+ "n": 25178
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+ },
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+ "v": {
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+ "mean_drift": 0.007,
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+ "n": 57857
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+ }
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+ },
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+ "label_scheme": "macula_phrase_role",
33
+ "pair_order_kept": {
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+ "adv>adv": {
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+ "kept": 61,
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+ "rate": 0.924,
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+ "total": 66
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+ },
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+ "adv>o": {
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+ "kept": 240,
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+ "rate": 0.836,
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+ "total": 287
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+ },
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+ "adv>p": {
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+ "kept": 98,
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+ "rate": 0.784,
47
+ "total": 125
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+ },
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+ "adv>pp": {
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+ "kept": 487,
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+ "rate": 0.794,
52
+ "total": 613
53
+ },
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+ "adv>s": {
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+ "kept": 309,
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+ "rate": 0.796,
57
+ "total": 388
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+ },
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+ "adv>v": {
60
+ "kept": 1187,
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+ "rate": 0.806,
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+ "total": 1472
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+ },
64
+ "o2>o": {
65
+ "kept": 78,
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+ "rate": 0.812,
67
+ "total": 96
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+ },
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+ "o2>pp": {
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+ "kept": 132,
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+ "rate": 0.82,
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+ "total": 161
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+ },
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+ "o2>s": {
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+ "kept": 29,
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+ "rate": 0.879,
77
+ "total": 33
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+ },
79
+ "o2>v": {
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+ "kept": 214,
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+ "rate": 0.796,
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+ "total": 269
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+ },
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+ "o>adv": {
85
+ "kept": 338,
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+ "rate": 0.781,
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+ "total": 433
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+ },
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+ "o>o": {
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+ "kept": 675,
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+ "rate": 0.885,
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+ "total": 763
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+ },
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+ "o>o2": {
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+ "kept": 246,
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+ "rate": 0.845,
97
+ "total": 291
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+ },
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+ "o>p": {
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+ "kept": 456,
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+ "rate": 0.862,
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+ "total": 529
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+ },
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+ "o>pp": {
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+ "kept": 3676,
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+ "rate": 0.827,
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+ "total": 4443
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+ },
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+ "o>s": {
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+ "kept": 784,
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+ "rate": 0.792,
112
+ "total": 990
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+ },
114
+ "o>v": {
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+ "kept": 6489,
116
+ "rate": 0.831,
117
+ "total": 7808
118
+ },
119
+ "p>adv": {
120
+ "kept": 67,
121
+ "rate": 0.788,
122
+ "total": 85
123
+ },
124
+ "p>o": {
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+ "kept": 170,
126
+ "rate": 0.821,
127
+ "total": 207
128
+ },
129
+ "p>p": {
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+ "kept": 400,
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+ "rate": 0.891,
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+ "total": 449
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+ },
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+ "p>pp": {
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+ "kept": 753,
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+ "rate": 0.803,
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+ "total": 938
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+ },
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+ "p>s": {
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+ "kept": 1571,
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+ "rate": 0.722,
142
+ "total": 2177
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+ },
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+ "p>v": {
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+ "kept": 1463,
146
+ "rate": 0.869,
147
+ "total": 1684
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+ },
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+ "pp>adv": {
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+ "kept": 535,
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+ "rate": 0.805,
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+ "total": 665
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+ },
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+ "pp>o": {
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+ "kept": 1579,
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+ "rate": 0.755,
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+ "total": 2092
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+ },
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+ "pp>o2": {
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+ "kept": 54,
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+ "rate": 0.75,
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+ "total": 72
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+ },
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+ "pp>p": {
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+ "kept": 1037,
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+ "rate": 0.85,
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+ "total": 1220
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+ },
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+ "pp>pp": {
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+ "kept": 1304,
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+ "rate": 0.852,
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+ "total": 1530
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+ },
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+ "pp>s": {
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+ "kept": 2218,
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+ "rate": 0.798,
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+ "total": 2780
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