File size: 5,808 Bytes
f94cee6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
{
  "base_model": "google/gemma-3-4b-it",
  "cases": [
    {
      "case": "correct",
      "gold": {
        "extra": [],
        "incorrect": [],
        "label": "positive",
        "missing": []
      },
      "input_text": "Blue Spice is a coffee shop in city centre.",
      "input_triples": [
        "Blue Spice | area | city centre",
        "Blue Spice | eat type | coffee shop"
      ],
      "reference_model_output": "All correct",
      "reference_parsed_output": {
        "extra": [],
        "incorrect": [],
        "missing": []
      },
      "sample_id": 0,
      "sample_index": 0
    },
    {
      "case": "omitted",
      "gold": {
        "extra": [],
        "incorrect": [],
        "label": "negative",
        "missing": [
          "Mango | buenos aires | Crowne Plaza Hotel",
          "The Cricketers | family friendly | yes",
          "The Cricketers | eat type | restaurant"
        ]
      },
      "input_text": "The coffee shop Blue Spice is based near Crowne Plaza Hotel and has a high customer rating of 5 out of 5.",
      "input_triples": [
        "Blue Spice | customer rating | 5 out of 5",
        "Blue Spice | eat type | coffee shop",
        "Blue Spice | near | Crowne Plaza Hotel",
        "Mango | buenos aires | Crowne Plaza Hotel",
        "The Cricketers | family friendly | yes",
        "The Cricketers | eat type | restaurant"
      ],
      "reference_model_output": "| Type | Triple |\n| ---- | ------ |\n| Missing | [S] Mango [P] buenos aires [O] Crowne Plaza Hotel |\n| Missing | [S] The Cricketers [P] eat type [O] restaurant |\n| Missing | [S] The Cricketers [P] family friendly [O] yes |",
      "reference_parsed_output": {
        "extra": [],
        "incorrect": [],
        "missing": [
          "[S] Mango [P] buenos aires [O] Crowne Plaza Hotel",
          "[S] The Cricketers [P] eat type [O] restaurant",
          "[S] The Cricketers [P] family friendly [O] yes"
        ]
      },
      "sample_id": 2,
      "sample_index": 2
    },
    {
      "case": "extra",
      "gold": {
        "extra": [
          "Blue Spice | eat type | pub"
        ],
        "incorrect": [],
        "label": "negative",
        "missing": []
      },
      "input_text": "At the riverside, there is a pub called The Blue Spice.",
      "input_triples": [
        "Blue Spice | area | riverside"
      ],
      "reference_model_output": "| Type | Triple |\n| ---- | ------ |\n| Extra | [S] Blue Spice [P] eat type [O] pub |",
      "reference_parsed_output": {
        "extra": [
          "[S] Blue Spice [P] eat type [O] pub"
        ],
        "incorrect": [],
        "missing": []
      },
      "sample_id": 6,
      "sample_index": 6
    },
    {
      "case": "incorrect",
      "gold": {
        "extra": [],
        "incorrect": [
          {
            "error_type": "wrong_entity",
            "incorrect": "Hot | area | riverside",
            "original": "Blue Spice | area | riverside",
            "replaced_element": "subject"
          },
          {
            "error_type": "wrong_entity",
            "incorrect": "Blue Spice | family friendly | Politics",
            "original": "Blue Spice | family friendly | no",
            "replaced_element": "object"
          },
          {
            "error_type": "wrong_predicate",
            "incorrect": "Blue Spice | brand | pub",
            "original": "Blue Spice | eat type | pub",
            "replaced_element": "predicate"
          },
          {
            "error_type": "wrong_predicate",
            "incorrect": "Blue Spice | address | Rainbow Vegetarian Café",
            "original": "Blue Spice | near | Rainbow Vegetarian Café",
            "replaced_element": "predicate"
          },
          {
            "error_type": "wrong_predicate",
            "incorrect": "Blue Spice | class | Chinese",
            "original": "Blue Spice | food | Chinese",
            "replaced_element": "predicate"
          }
        ],
        "label": "negative",
        "missing": []
      },
      "input_text": "Blue Spice pub in riverside serves Chinese food. It is not family friendly and can be found near Rainbow Vegetarian Café.",
      "input_triples": [
        "Hot | area | riverside",
        "Blue Spice | brand | pub",
        "Blue Spice | family friendly | Politics",
        "Blue Spice | class | Chinese",
        "Blue Spice | address | Rainbow Vegetarian Café"
      ],
      "reference_model_output": "| Type | Triple |\n| ---- | ------ |\n| Incorrect | [S] Hot [P] area [O] riverside |\n| Incorrect | [S] Blue Spice [P] brand [O] pub |\n| Incorrect | [S] Blue Spice [P] family friendly [O] Politics |\n| Incorrect | [S] Blue Spice [P] class [O] Chinese |\n| Incorrect | [S] Blue Spice [P] address [O] Rainbow Vegetarian Café |",
      "reference_parsed_output": {
        "extra": [],
        "incorrect": [
          "[S] Hot [P] area [O] riverside",
          "[S] Blue Spice [P] brand [O] pub",
          "[S] Blue Spice [P] family friendly [O] Politics",
          "[S] Blue Spice [P] class [O] Chinese",
          "[S] Blue Spice [P] address [O] Rainbow Vegetarian Café"
        ],
        "missing": []
      },
      "sample_id": 13,
      "sample_index": 13
    }
  ],
  "comparison": "Compare parsed error units after normalization. Byte-identical generation is not required across inference libraries.",
  "reference_backend": "ms-swift PtEngine",
  "reference_generation": {
    "max_tokens": 1024,
    "seed": 2023,
    "temperature": 0.3
  },
  "reference_predictions_relative_path": "verifier_train_eval_e2e19/xqdt_outputs/test_predictions_gemma3_4b_6975.json",
  "reference_predictions_sha256": "51b9c4e077f7495ca02acbeca9d5798bdbee1ea498c9ec60bf13fd98c08886e0",
  "repository": "xqdt-e2e-gemma3-4b",
  "schema_version": 1
}