doc_id
stringclasses 36
values | sentence
stringlengths 1
1.16k
| tokens
sequencelengths 1
308
| beginOffset
int32 0
64.3k
| endOffset
int32 7
64.8k
| AZ_labels
stringclasses 90
values | Measurement_label
stringclasses 3
values | NER_labels
sequence | NER_labels_BILOU
sequencelengths 1
308
| relations
sequence | docFileName
stringclasses 36
values | data_split
stringclasses 5
values | category
stringclasses 7
values |
---|---|---|---|---|---|---|---|---|---|---|---|---|
steel_11 | Figure 9 shows the relationship between the stress intensity factor at the crack tip and the size of pre-corrosion pits. | [
"Figure",
"9",
"shows",
"the",
"relationship",
"between",
"the",
"stress",
"intensity",
"factor",
"at",
"the",
"crack",
"tip",
"and",
"the",
"size",
"of",
"pre",
"-",
"corrosion",
"pits",
"."
] | 20,707 | 20,828 | ['Results'] | MEASUREMENT | {
"text": [
"shows",
"stress intensity factor at the crack tip",
"size of pre-corrosion pits"
],
"id": [
71161,
71170,
71179
],
"value": [
"MEASUREMENT",
"PROPERTY",
"PROPERTY"
],
"begin": [
"9",
"44",
"93"
],
"end": [
"14",
"84",
"120"
],
"tokenIndices": [
[
2,
2
],
[
7,
13
],
[
16,
21
]
]
} | [
"O",
"O",
"U-MEASUREMENT",
"O",
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O"
] | {
"ne_id_gov": [
71161,
71161
],
"ne_id_dep": [
71170,
71179
],
"label": [
"measuresProperty",
"conditionProperty"
]
} | steel_11 | train2 | steel |
steel_11 | By using the numerical fitting method, the regression formula to represent the relationship between the stress intensity factor and the depth of the pre-corrosion pits is derived as: = 0.273 . 0.731 (4)where KIS is the pre-corroded stress intensity factor, KI0 is the non-corroded stress intensity factor, and φ is the depth of corrosion pits. | [
"By",
"using",
"the",
"numerical",
"fitting",
"method",
",",
"the",
"regression",
"formula",
"to",
"represent",
"the",
"relationship",
"between",
"the",
"stress",
"intensity",
"factor",
"and",
"the",
"depth",
"of",
"the",
"pre",
"-",
"corrosion",
"pits",
"is",
"derived",
"as",
":",
"=",
"0.273",
".",
"0.731",
"(",
"4",
")",
"where",
"KIS",
"is",
"the",
"pre",
"-",
"corroded",
"stress",
"intensity",
"factor",
",",
"KI0",
"is",
"the",
"non",
"-",
"corroded",
"stress",
"intensity",
"factor",
",",
"and",
"φ",
"is",
"the",
"depth",
"of",
"corrosion",
"pits",
"."
] | 20,830 | 21,184 | ['Background', 'Exp_Characterization', 'Experiment'] | MEASUREMENT | {
"text": [
"numerical fitting method",
"regression formula",
"stress intensity factor",
"depth of the pre-corrosion pits",
"is derived",
"= 0.273 . 0.731 (4)"
],
"id": [
71188,
71197,
71206,
71215,
71224,
71233
],
"value": [
"TECHNIQUE",
"PROPERTY",
"PROPERTY",
"PROPERTY",
"MEASUREMENT",
"VALUE"
],
"begin": [
"13",
"43",
"105",
"137",
"169",
"191"
],
"end": [
"37",
"61",
"128",
"168",
"179",
"212"
],
"tokenIndices": [
[
3,
5
],
[
8,
9
],
[
16,
18
],
[
21,
27
],
[
28,
29
],
[
32,
38
]
]
} | [
"O",
"O",
"O",
"B-TECHNIQUE",
"I-TECHNIQUE",
"L-TECHNIQUE",
"O",
"O",
"B-PROPERTY",
"L-PROPERTY",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"B-MEASUREMENT",
"L-MEASUREMENT",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"L-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [
71224,
71224,
71224,
71224,
71224,
71197
],
"ne_id_dep": [
71188,
71233,
71197,
71206,
71215,
71233
],
"label": [
"usesTechnique",
"measuresPropertyValue",
"measuresProperty",
"conditionProperty",
"conditionProperty",
"propertyValue"
]
} | steel_11 | train2 | steel |
steel_11 | The fatigue life can be estimated according to the Paris formula [25]. | [
"The",
"fatigue",
"life",
"can",
"be",
"estimated",
"according",
"to",
"the",
"Paris",
"formula",
"[",
"25",
"]",
"."
] | 21,186 | 21,257 | ['Background', 'Exp_Characterization', 'Experiment', 'Background_PriorWork'] | O | {
"text": [
"[25]"
],
"id": [
71242
],
"value": [
"CITE"
],
"begin": [
"66"
],
"end": [
"70"
],
"tokenIndices": [
[
11,
13
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CITE",
"I-CITE",
"L-CITE",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | The Paris formula is shown as follows: | [
"The",
"Paris",
"formula",
"is",
"shown",
"as",
"follows",
":"
] | 21,259 | 21,297 | ['Background', 'Background_PriorWork'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | = ∆ | [
"=",
"∆"
] | 21,311 | 21,316 | ['Background', 'Background_PriorWork'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | (5)where da/dN is the fatigue crack propagation, ΔK is the stress intensity factor at the tip of cracks, and C and m are the equation coefficients, respectively. | [
"(",
"5",
")",
"where",
"da",
"/",
"dN",
"is",
"the",
"fatigue",
"crack",
"propagation",
",",
"ΔK",
"is",
"the",
"stress",
"intensity",
"factor",
"at",
"the",
"tip",
"of",
"cracks",
",",
"and",
"C",
"and",
"m",
"are",
"the",
"equation",
"coefficients",
",",
"respectively",
"."
] | 21,322 | 21,484 | ['Background', 'Background_PriorWork'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | For the 42CrMo steel, the coefficients of C and m are taken as 4.349 × 10−12 and 3.07, respectively [40]. | [
"For",
"the",
"42CrMo",
"steel",
",",
"the",
"coefficients",
"of",
"C",
"and",
"m",
"are",
"taken",
"as",
"4.349",
"×",
"10",
"−",
"12",
"and",
"3.07",
",",
"respectively",
"[",
"40",
"]",
"."
] | 21,486 | 21,592 | ['Background', 'Background_PriorWork', 'Experiment', 'Exp_Preparation'] | O | {
"text": [
"42CrMo",
"steel",
"4.349 × 10−12",
"4.349 × 10−12",
"4.349",
"10−12",
"3.07",
"3.07",
"[40]"
],
"id": [
71251,
71260,
71278,
71269,
71287,
71296,
71314,
71305,
71323
],
"value": [
"MAT",
"MAT",
"NUM",
"VALUE",
"NUM",
"NUM",
"NUM",
"VALUE",
"CITE"
],
"begin": [
"8",
"15",
"64",
"64",
"64",
"72",
"82",
"82",
"101"
],
"end": [
"14",
"20",
"77",
"77",
"69",
"77",
"86",
"86",
"105"
],
"tokenIndices": [
[
2,
2
],
[
3,
3
],
[
14,
18
],
[
14,
18
],
[
14,
14
],
[
16,
18
],
[
20,
20
],
[
20,
20
],
[
23,
25
]
]
} | [
"O",
"O",
"U-MAT",
"U-MAT",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-NUM+B-VALUE+U-NUM",
"I-NUM+I-VALUE",
"I-NUM+I-VALUE+B-NUM",
"I-NUM+I-VALUE+I-NUM",
"L-NUM+L-VALUE+L-NUM",
"O",
"U-NUM+U-VALUE",
"O",
"O",
"B-CITE",
"I-CITE",
"L-CITE",
"O"
] | {
"ne_id_gov": [
71251
],
"ne_id_dep": [
71260
],
"label": [
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | Through the integration of Equation (5), the fatigue life of 42CrMo steel can be estimated as: | [
"Through",
"the",
"integration",
"of",
"Equation",
"(",
"5",
")",
",",
"the",
"fatigue",
"life",
"of",
"42CrMo",
"steel",
"can",
"be",
"estimated",
"as",
":"
] | 21,594 | 21,689 | ['Experiment', 'Exp_Preparation'] | O | {
"text": [
"42CrMo",
"steel"
],
"id": [
71332,
71341
],
"value": [
"MAT",
"MAT"
],
"begin": [
"62",
"69"
],
"end": [
"68",
"74"
],
"tokenIndices": [
[
13,
13
],
[
14,
14
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"U-MAT",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [
71332
],
"ne_id_dep": [
71341
],
"label": [
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | where N is the fatigue life of pre-corroded specimens and N0 is the fatigue life of non-corroded specimens. | [
"where",
"N",
"is",
"the",
"fatigue",
"life",
"of",
"pre",
"-",
"corroded",
"specimens",
"and",
"N0",
"is",
"the",
"fatigue",
"life",
"of",
"non",
"-",
"corroded",
"specimens",
"."
] | 21,842 | 21,949 | ['Experiment', 'Exp_Preparation'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | Figure 9. The relationship between the stress intensity factor and the depth of pre-corrosion pits. | [
"Figure",
"9",
".",
"The",
"relationship",
"between",
"the",
"stress",
"intensity",
"factor",
"and",
"the",
"depth",
"of",
"pre",
"-",
"corrosion",
"pits",
"."
] | 21,962 | 22,061 | ['Results', 'Exp_Characterization', 'Experiment', 'Caption'] | MEASUREMENT | {
"text": [
"Figure",
"stress intensity factor",
"depth of pre-corrosion pits"
],
"id": [
71350,
71359,
71368
],
"value": [
"MEASUREMENT",
"PROPERTY",
"PROPERTY"
],
"begin": [
"0",
"39",
"71"
],
"end": [
"6",
"62",
"98"
],
"tokenIndices": [
[
0,
0
],
[
7,
9
],
[
12,
17
]
]
} | [
"U-MEASUREMENT",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O"
] | {
"ne_id_gov": [
71350,
71350
],
"ne_id_dep": [
71359,
71368
],
"label": [
"measuresProperty",
"conditionProperty"
]
} | steel_11 | train2 | steel |
steel_11 | Under different stress ranges and corrosion degrees, the residual fatigue life of pre-corrosion specimens is predicted through the use of Equation (7). | [
"Under",
"different",
"stress",
"ranges",
"and",
"corrosion",
"degrees",
",",
"the",
"residual",
"fatigue",
"life",
"of",
"pre",
"-",
"corrosion",
"specimens",
"is",
"predicted",
"through",
"the",
"use",
"of",
"Equation",
"(",
"7",
")",
"."
] | 22,063 | 22,215 | ['Exp_Characterization', 'Experiment'] | MEASUREMENT | {
"text": [
"stress ranges",
"corrosion degrees",
"residual fatigue life",
"pre-corrosion specimens",
"is predicted",
"Equation (7)"
],
"id": [
71377,
71386,
71395,
71404,
71413,
71422
],
"value": [
"PROPERTY",
"PROPERTY",
"PROPERTY",
"SAMPLE",
"MEASUREMENT",
"TECHNIQUE"
],
"begin": [
"16",
"34",
"57",
"82",
"107",
"139"
],
"end": [
"29",
"51",
"78",
"106",
"119",
"151"
],
"tokenIndices": [
[
2,
3
],
[
5,
6
],
[
9,
11
],
[
13,
16
],
[
17,
18
],
[
23,
26
]
]
} | [
"O",
"O",
"B-PROPERTY",
"L-PROPERTY",
"O",
"B-PROPERTY",
"L-PROPERTY",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"B-SAMPLE",
"I-SAMPLE",
"I-SAMPLE",
"L-SAMPLE",
"B-MEASUREMENT",
"L-MEASUREMENT",
"O",
"O",
"O",
"O",
"B-TECHNIQUE",
"I-TECHNIQUE",
"I-TECHNIQUE",
"L-TECHNIQUE",
"O"
] | {
"ne_id_gov": [
71413,
71413,
71413,
71413
],
"ne_id_dep": [
71377,
71386,
71395,
71422
],
"label": [
"conditionProperty",
"conditionProperty",
"measuresProperty",
"usesTechnique"
]
} | steel_11 | train2 | steel |
steel_11 | The comparison of predicted fatigue life and experimental fatigue life is summarized in Table 3. | [
"The",
"comparison",
"of",
"predicted",
"fatigue",
"life",
"and",
"experimental",
"fatigue",
"life",
"is",
"summarized",
"in",
"Table",
"3",
"."
] | 22,217 | 22,314 | ['Results'] | MEASUREMENT | {
"text": [
"predicted fatigue life",
"experimental fatigue life",
"is summarized"
],
"id": [
71431,
71440,
71449
],
"value": [
"PROPERTY",
"PROPERTY",
"MEASUREMENT"
],
"begin": [
"18",
"46",
"72"
],
"end": [
"40",
"71",
"85"
],
"tokenIndices": [
[
3,
5
],
[
7,
9
],
[
10,
11
]
]
} | [
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"B-MEASUREMENT",
"L-MEASUREMENT",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [
71449,
71449
],
"ne_id_dep": [
71431,
71440
],
"label": [
"measuresProperty",
"measuresProperty"
]
} | steel_11 | train2 | steel |
steel_11 | Table 3. Comparison of predicted fatigue life and experimental fatigue life. | [
"Table",
"3",
".",
"Comparison",
"of",
"predicted",
"fatigue",
"life",
"and",
"experimental",
"fatigue",
"life",
"."
] | 22,316 | 22,392 | ['Results', 'Exp_Characterization', 'Experiment', 'Caption'] | MEASUREMENT | {
"text": [
"Comparison",
"predicted fatigue life",
"experimental fatigue life"
],
"id": [
71458,
71467,
71476
],
"value": [
"MEASUREMENT",
"PROPERTY",
"PROPERTY"
],
"begin": [
"9",
"23",
"50"
],
"end": [
"19",
"45",
"75"
],
"tokenIndices": [
[
3,
3
],
[
5,
7
],
[
9,
11
]
]
} | [
"O",
"O",
"O",
"U-MEASUREMENT",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O"
] | {
"ne_id_gov": [
71458,
71458
],
"ne_id_dep": [
71467,
71476
],
"label": [
"measuresProperty",
"measuresProperty"
]
} | steel_11 | train2 | steel |
steel_11 | Table 2 shows that the fatigue life predicted by the coupled formula agreed well with experiment results, and the percentage errors between predicted values and experimental values were less than 10%. | [
"Table",
"2",
"shows",
"that",
"the",
"fatigue",
"life",
"predicted",
"by",
"the",
"coupled",
"formula",
"agreed",
"well",
"with",
"experiment",
"results",
",",
"and",
"the",
"percentage",
"errors",
"between",
"predicted",
"values",
"and",
"experimental",
"values",
"were",
"less",
"than",
"10",
"%",
"."
] | 22,719 | 22,921 | ['Results'] | MEASUREMENT | {
"text": [
"shows",
"percentage errors",
"less than 10%",
"less than 10",
"10",
"%"
],
"id": [
71503,
71512,
71521,
71530,
71539,
71548
],
"value": [
"MEASUREMENT",
"PROPERTY",
"VALUE",
"RANGE",
"NUM",
"UNIT"
],
"begin": [
"8",
"115",
"188",
"188",
"198",
"200"
],
"end": [
"13",
"132",
"201",
"200",
"200",
"201"
],
"tokenIndices": [
[
2,
2
],
[
20,
21
],
[
29,
32
],
[
29,
31
],
[
31,
31
],
[
32,
32
]
]
} | [
"O",
"O",
"U-MEASUREMENT",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PROPERTY",
"L-PROPERTY",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE+B-RANGE",
"I-VALUE+I-RANGE",
"I-VALUE+L-RANGE+U-NUM",
"L-VALUE+U-UNIT",
"O"
] | {
"ne_id_gov": [
71503,
71503,
71512
],
"ne_id_dep": [
71521,
71512,
71521
],
"label": [
"measuresPropertyValue",
"measuresProperty",
"propertyValue"
]
} | steel_11 | train2 | steel |
steel_11 | In the case of low corrosion degrees and low stress levels, the percentage errors were less than 5%. | [
"In",
"the",
"case",
"of",
"low",
"corrosion",
"degrees",
"and",
"low",
"stress",
"levels",
",",
"the",
"percentage",
"errors",
"were",
"less",
"than",
"5",
"%",
"."
] | 22,923 | 23,024 | ['Results'] | O | {
"text": [
"less than 5%",
"less than 5",
"5",
"%"
],
"id": [
71557,
71566,
71575,
71584
],
"value": [
"VALUE",
"RANGE",
"NUM",
"UNIT"
],
"begin": [
"88",
"88",
"98",
"99"
],
"end": [
"100",
"99",
"99",
"100"
],
"tokenIndices": [
[
16,
19
],
[
16,
18
],
[
18,
18
],
[
19,
19
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE+B-RANGE",
"I-VALUE+I-RANGE",
"I-VALUE+L-RANGE+U-NUM",
"L-VALUE+U-UNIT",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | With the increase of pre-corroded time and stress levels, the percentage error was increased to approximately 9.3%. | [
"With",
"the",
"increase",
"of",
"pre",
"-",
"corroded",
"time",
"and",
"stress",
"levels",
",",
"the",
"percentage",
"error",
"was",
"increased",
"to",
"approximately",
"9.3",
"%",
"."
] | 23,026 | 23,142 | ['Results'] | MEASUREMENT | {
"text": [
"pre-corroded time",
"stress levels",
"percentage error",
"was increased",
"9.3",
"9.3",
"%"
],
"id": [
71593,
71602,
71611,
71620,
71638,
71629,
71647
],
"value": [
"PROPERTY",
"PROPERTY",
"PROPERTY",
"MEASUREMENT",
"NUM",
"VALUE",
"UNIT"
],
"begin": [
"21",
"43",
"62",
"80",
"111",
"111",
"114"
],
"end": [
"38",
"56",
"78",
"93",
"114",
"114",
"115"
],
"tokenIndices": [
[
4,
7
],
[
9,
10
],
[
13,
14
],
[
15,
16
],
[
19,
19
],
[
19,
19
],
[
20,
20
]
]
} | [
"O",
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"B-PROPERTY",
"L-PROPERTY",
"O",
"O",
"B-PROPERTY",
"L-PROPERTY",
"B-MEASUREMENT",
"L-MEASUREMENT",
"O",
"O",
"U-NUM+U-VALUE",
"U-UNIT",
"O"
] | {
"ne_id_gov": [
71620,
71620,
71620,
71620,
71611
],
"ne_id_dep": [
71593,
71602,
71629,
71611,
71629
],
"label": [
"conditionProperty",
"conditionProperty",
"measuresPropertyValue",
"measuresProperty",
"propertyValue"
]
} | steel_11 | train2 | steel |
steel_11 | The stress intensity factor at the tip of cracks was calculated on the basis of the linear elastic model and the morphology of the pre-corrosion pits simulated by FEM took pre-set defects in the middle of the specimen, while the practical corrosion pits had the characteristics of the uneven distribution and size of the specimen. | [
"The",
"stress",
"intensity",
"factor",
"at",
"the",
"tip",
"of",
"cracks",
"was",
"calculated",
"on",
"the",
"basis",
"of",
"the",
"linear",
"elastic",
"model",
"and",
"the",
"morphology",
"of",
"the",
"pre",
"-",
"corrosion",
"pits",
"simulated",
"by",
"FEM",
"took",
"pre",
"-",
"set",
"defects",
"in",
"the",
"middle",
"of",
"the",
"specimen",
",",
"while",
"the",
"practical",
"corrosion",
"pits",
"had",
"the",
"characteristics",
"of",
"the",
"uneven",
"distribution",
"and",
"size",
"of",
"the",
"specimen",
"."
] | 23,144 | 23,477 | ['Results', 'Experiment', 'Exp_Preparation'] | MEASUREMENT | {
"text": [
"stress intensity factor at the tip of cracks",
"was calculated",
"linear elastic model",
"morphology of the pre-corrosion pits",
"FEM",
"pre-set defects"
],
"id": [
71656,
71665,
71674,
71683,
71692,
71701
],
"value": [
"PROPERTY",
"MEASUREMENT",
"TECHNIQUE",
"PROPERTY",
"TECHNIQUE",
"PROPERTY"
],
"begin": [
"4",
"49",
"85",
"114",
"165",
"174"
],
"end": [
"48",
"63",
"105",
"150",
"168",
"189"
],
"tokenIndices": [
[
1,
8
],
[
9,
10
],
[
16,
18
],
[
21,
27
],
[
30,
30
],
[
32,
35
]
]
} | [
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"B-MEASUREMENT",
"L-MEASUREMENT",
"O",
"O",
"O",
"O",
"O",
"B-TECHNIQUE",
"I-TECHNIQUE",
"L-TECHNIQUE",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"U-TECHNIQUE",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [
71665,
71665,
71665,
71665,
71665
],
"ne_id_dep": [
71656,
71674,
71683,
71692,
71701
],
"label": [
"measuresProperty",
"usesTechnique",
"measuresProperty",
"usesTechnique",
"conditionProperty"
]
} | steel_11 | train2 | steel |
steel_11 | Thus, the percentage errors between the predicted values and the experimental values were slightly increased with the increase of pre-corroded time and stress levels. | [
"Thus",
",",
"the",
"percentage",
"errors",
"between",
"the",
"predicted",
"values",
"and",
"the",
"experimental",
"values",
"were",
"slightly",
"increased",
"with",
"the",
"increase",
"of",
"pre",
"-",
"corroded",
"time",
"and",
"stress",
"levels",
"."
] | 23,479 | 23,647 | ['Explanation'] | QUAL_MEASUREMENT | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | 4. Recommendation for Future Research | [
"4",
".",
"Recommendation",
"for",
"Future",
"Research"
] | 23,651 | 23,688 | ['Heading'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | In this research, the effect of pre-corrosion pits on the residual fatigue life of the 42CrMo steel was experimentally and numerically studied. | [
"In",
"this",
"research",
",",
"the",
"effect",
"of",
"pre",
"-",
"corrosion",
"pits",
"on",
"the",
"residual",
"fatigue",
"life",
"of",
"the",
"42CrMo",
"steel",
"was",
"experimentally",
"and",
"numerically",
"studied",
"."
] | 23,692 | 23,836 | ['Motivation'] | O | {
"text": [
"42CrMo",
"steel"
],
"id": [
71719,
71728
],
"value": [
"MAT",
"MAT"
],
"begin": [
"87",
"94"
],
"end": [
"93",
"99"
],
"tokenIndices": [
[
18,
18
],
[
19,
19
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"U-MAT",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [
71719
],
"ne_id_dep": [
71728
],
"label": [
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | It was demonstrated in this paper that the corrosion pit size can be used as a damage index to assess the residual fatigue life. | [
"It",
"was",
"demonstrated",
"in",
"this",
"paper",
"that",
"the",
"corrosion",
"pit",
"size",
"can",
"be",
"used",
"as",
"a",
"damage",
"index",
"to",
"assess",
"the",
"residual",
"fatigue",
"life",
"."
] | 23,838 | 23,967 | ['Conclusion'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | Therefore, the monitoring of corrosion pit size is important not only to know the corrosion status, but also to predict the residual fatigue life of the steel. | [
"Therefore",
",",
"the",
"monitoring",
"of",
"corrosion",
"pit",
"size",
"is",
"important",
"not",
"only",
"to",
"know",
"the",
"corrosion",
"status",
",",
"but",
"also",
"to",
"predict",
"the",
"residual",
"fatigue",
"life",
"of",
"the",
"steel",
"."
] | 23,969 | 24,130 | ['Conclusion'] | O | {
"text": [
"steel"
],
"id": [
71737
],
"value": [
"MAT"
],
"begin": [
"155"
],
"end": [
"160"
],
"tokenIndices": [
[
28,
28
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | With the recent development of structural health monitoring technology [41–44], especially the piezoceramic-based active sensing method [45–47], electromechanical impedance (EMI) approach [48–50], and imaging technology [51,52], it is now possible to monitor corrosion pit number and size [10]. | [
"With",
"the",
"recent",
"development",
"of",
"structural",
"health",
"monitoring",
"technology",
"[",
"41",
"–",
"44",
"]",
",",
"especially",
"the",
"piezoceramic",
"-",
"based",
"active",
"sensing",
"method",
"[",
"45",
"–",
"47",
"]",
",",
"electromechanical",
"impedance",
"(",
"EMI",
")",
"approach",
"[",
"48",
"–",
"50",
"]",
",",
"and",
"imaging",
"technology",
"[",
"51,52",
"]",
",",
"it",
"is",
"now",
"possible",
"to",
"monitor",
"corrosion",
"pit",
"number",
"and",
"size",
"[",
"10",
"]",
"."
] | 24,132 | 24,428 | ['Background', 'Background_PriorWork', 'Conclusion'] | O | {
"text": [
"[41–44]",
"piezoceramic",
"[45–47]",
"[48–50]",
"[51,52]",
"[10]"
],
"id": [
71746,
71755,
71764,
71773,
71782,
71791
],
"value": [
"CITE",
"MAT",
"CITE",
"CITE",
"CITE",
"CITE"
],
"begin": [
"72",
"96",
"137",
"190",
"222",
"291"
],
"end": [
"79",
"108",
"144",
"197",
"229",
"295"
],
"tokenIndices": [
[
9,
13
],
[
17,
17
],
[
23,
27
],
[
35,
39
],
[
44,
46
],
[
59,
61
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CITE",
"I-CITE",
"I-CITE",
"I-CITE",
"L-CITE",
"O",
"O",
"O",
"U-MAT",
"O",
"O",
"O",
"O",
"O",
"B-CITE",
"I-CITE",
"I-CITE",
"I-CITE",
"L-CITE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CITE",
"I-CITE",
"I-CITE",
"I-CITE",
"L-CITE",
"O",
"O",
"O",
"O",
"B-CITE",
"I-CITE",
"L-CITE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-CITE",
"I-CITE",
"L-CITE",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | Future work should include the real-time monitoring of the onset and growth of the corrosion pit and the prediction of the residual fatigue life of the 42CrMo steel specimens. | [
"Future",
"work",
"should",
"include",
"the",
"real",
"-",
"time",
"monitoring",
"of",
"the",
"onset",
"and",
"growth",
"of",
"the",
"corrosion",
"pit",
"and",
"the",
"prediction",
"of",
"the",
"residual",
"fatigue",
"life",
"of",
"the",
"42CrMo",
"steel",
"specimens",
"."
] | 24,433 | 24,608 | ['Background'] | O | {
"text": [
"42CrMo",
"steel"
],
"id": [
71800,
71809
],
"value": [
"MAT",
"MAT"
],
"begin": [
"152",
"159"
],
"end": [
"158",
"164"
],
"tokenIndices": [
[
28,
28
],
[
29,
29
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"U-MAT",
"O",
"O"
] | {
"ne_id_gov": [
71800
],
"ne_id_dep": [
71809
],
"label": [
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | Future works should also focus on the quantitative analysis of corrosion pits to improve the predicted accuracy of the residual fatigue life for the corroded 42CrMo steel. | [
"Future",
"works",
"should",
"also",
"focus",
"on",
"the",
"quantitative",
"analysis",
"of",
"corrosion",
"pits",
"to",
"improve",
"the",
"predicted",
"accuracy",
"of",
"the",
"residual",
"fatigue",
"life",
"for",
"the",
"corroded",
"42CrMo",
"steel",
"."
] | 24,610 | 24,781 | ['Background'] | O | {
"text": [
"42CrMo",
"steel"
],
"id": [
71818,
71827
],
"value": [
"MAT",
"MAT"
],
"begin": [
"158",
"165"
],
"end": [
"164",
"170"
],
"tokenIndices": [
[
25,
25
],
[
26,
26
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"U-MAT",
"O"
] | {
"ne_id_gov": [
71818
],
"ne_id_dep": [
71827
],
"label": [
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | 5. Conclusions | [
"5",
".",
"Conclusions"
] | 24,784 | 24,798 | ['Heading'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | In summary, this study investigated the effect of pre-corrosion pits on the residual fatigue life of the 42CrMo steel. | [
"In",
"summary",
",",
"this",
"study",
"investigated",
"the",
"effect",
"of",
"pre",
"-",
"corrosion",
"pits",
"on",
"the",
"residual",
"fatigue",
"life",
"of",
"the",
"42CrMo",
"steel",
"."
] | 24,801 | 24,919 | ['Motivation'] | MEASUREMENT | {
"text": [
"investigated",
"pre-corrosion pits",
"residual fatigue life",
"42CrMo",
"steel"
],
"id": [
71836,
71845,
71854,
71863,
71872
],
"value": [
"MEASUREMENT",
"PROPERTY",
"PROPERTY",
"MAT",
"MAT"
],
"begin": [
"23",
"50",
"76",
"105",
"112"
],
"end": [
"35",
"68",
"97",
"111",
"117"
],
"tokenIndices": [
[
5,
5
],
[
9,
12
],
[
15,
17
],
[
20,
20
],
[
21,
21
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"U-MEASUREMENT",
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"O",
"U-MAT",
"U-MAT",
"O"
] | {
"ne_id_gov": [
71836,
71836,
71836,
71863
],
"ne_id_dep": [
71845,
71854,
71863,
71872
],
"label": [
"conditionProperty",
"measuresProperty",
"conditionSampleFeatures",
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | It was found that higher stress amplitude and longer pre-corroded time significantly decreased the residual fatigue life of the steel. | [
"It",
"was",
"found",
"that",
"higher",
"stress",
"amplitude",
"and",
"longer",
"pre",
"-",
"corroded",
"time",
"significantly",
"decreased",
"the",
"residual",
"fatigue",
"life",
"of",
"the",
"steel",
"."
] | 24,921 | 25,055 | ['Conclusion'] | QUAL_MEASUREMENT | {
"text": [
"steel"
],
"id": [
71890
],
"value": [
"MAT"
],
"begin": [
"128"
],
"end": [
"133"
],
"tokenIndices": [
[
21,
21
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | The investigation of the residual fatigue life of pre-corrosion specimens was conducted through the use the regression formula and experimental measures, and the fatigue life predicted by the regression formula agreed well with experiment results. | [
"The",
"investigation",
"of",
"the",
"residual",
"fatigue",
"life",
"of",
"pre",
"-",
"corrosion",
"specimens",
"was",
"conducted",
"through",
"the",
"use",
"the",
"regression",
"formula",
"and",
"experimental",
"measures",
",",
"and",
"the",
"fatigue",
"life",
"predicted",
"by",
"the",
"regression",
"formula",
"agreed",
"well",
"with",
"experiment",
"results",
"."
] | 25,057 | 25,304 | ['Results', 'Experiment'] | MEASUREMENT | {
"text": [
"residual fatigue life",
"pre-corrosion specimens",
"was conducted",
"regression formula",
"experimental measures"
],
"id": [
71899,
71908,
71917,
71926,
71935
],
"value": [
"PROPERTY",
"SAMPLE",
"MEASUREMENT",
"TECHNIQUE",
"TECHNIQUE"
],
"begin": [
"25",
"50",
"74",
"108",
"131"
],
"end": [
"46",
"73",
"87",
"126",
"152"
],
"tokenIndices": [
[
4,
6
],
[
8,
11
],
[
12,
13
],
[
18,
19
],
[
21,
22
]
]
} | [
"O",
"O",
"O",
"O",
"B-PROPERTY",
"I-PROPERTY",
"L-PROPERTY",
"O",
"B-SAMPLE",
"I-SAMPLE",
"I-SAMPLE",
"L-SAMPLE",
"B-MEASUREMENT",
"L-MEASUREMENT",
"O",
"O",
"O",
"O",
"B-TECHNIQUE",
"L-TECHNIQUE",
"O",
"B-TECHNIQUE",
"L-TECHNIQUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [
71917,
71917,
71917,
71917
],
"ne_id_dep": [
71899,
71908,
71926,
71935
],
"label": [
"measuresProperty",
"conditionSampleFeatures",
"usesTechnique",
"usesTechnique"
]
} | steel_11 | train2 | steel |
steel_11 | Moreover, it was found that the rate of crack extension accelerated when the crack length increased. | [
"Moreover",
",",
"it",
"was",
"found",
"that",
"the",
"rate",
"of",
"crack",
"extension",
"accelerated",
"when",
"the",
"crack",
"length",
"increased",
"."
] | 25,306 | 25,406 | ['Conclusion'] | QUAL_MEASUREMENT | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | It is also demonstrated in this paper that the corrosion pit size can be used as a damage variable to assess the residual fatigue life. | [
"It",
"is",
"also",
"demonstrated",
"in",
"this",
"paper",
"that",
"the",
"corrosion",
"pit",
"size",
"can",
"be",
"used",
"as",
"a",
"damage",
"variable",
"to",
"assess",
"the",
"residual",
"fatigue",
"life",
"."
] | 25,408 | 25,543 | ['Conclusion'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | The recommendation for future research is to monitor corrosion pit characteristics and to predict the residual fatigue life of the 42CrMo steel. | [
"The",
"recommendation",
"for",
"future",
"research",
"is",
"to",
"monitor",
"corrosion",
"pit",
"characteristics",
"and",
"to",
"predict",
"the",
"residual",
"fatigue",
"life",
"of",
"the",
"42CrMo",
"steel",
"."
] | 25,545 | 25,689 | ['Background'] | O | {
"text": [
"42CrMo",
"steel"
],
"id": [
71962,
71971
],
"value": [
"MAT",
"MAT"
],
"begin": [
"131",
"138"
],
"end": [
"137",
"143"
],
"tokenIndices": [
[
20,
20
],
[
21,
21
]
]
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"U-MAT",
"U-MAT",
"O"
] | {
"ne_id_gov": [
71962
],
"ne_id_dep": [
71971
],
"label": [
"usedAs"
]
} | steel_11 | train2 | steel |
steel_11 | Author Contributions: | [
"Author",
"Contributions",
":"
] | 25,691 | 25,712 | ['Heading'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | Conceptualization, D.L.; methodology, D.L. and J.Z.; software, D.L. and Y.L.; validation, Y.L.; formal analysis, X.X.; writing—original draft preparation, D.L.; writing—review and editing, X.X.; visualization, Y.L.; supervision, X.X.; project administration, D.L. | [
"Conceptualization",
",",
"D.L",
".",
";",
"methodology",
",",
"D.L",
".",
"and",
"J.Z",
".",
";",
"software",
",",
"D.L",
".",
"and",
"Y.L",
".",
";",
"validation",
",",
"Y.L",
".",
";",
"formal",
"analysis",
",",
"X.X",
".",
";",
"writing—original",
"draft",
"preparation",
",",
"D.L",
".",
";",
"writing—review",
"and",
"editing",
",",
"X.X",
".",
";",
"visualization",
",",
"Y.L",
".",
";",
"supervision",
",",
"X.X",
".",
";",
"project",
"administration",
",",
"D.L",
"."
] | 25,715 | 25,978 | ['Metadata'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | Funding: | [
"Funding",
":"
] | 25,980 | 25,988 | ['Heading'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | This research was funded by Hubei Superior and Distinctive Discipline Group of “Mechatronics and Automobiles” (No.XKQ2019009). | [
"This",
"research",
"was",
"funded",
"by",
"Hubei",
"Superior",
"and",
"Distinctive",
"Discipline",
"Group",
"of",
"“",
"Mechatronics",
"and",
"Automobiles",
"”",
"(",
"No.XKQ2019009",
")",
"."
] | 25,991 | 26,117 | ['Metadata'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | Conflicts of Interest: | [
"Conflicts",
"of",
"Interest",
":"
] | 26,119 | 26,141 | ['Heading'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |
steel_11 | The authors declare no conflict of interest. | [
"The",
"authors",
"declare",
"no",
"conflict",
"of",
"interest",
"."
] | 26,144 | 26,188 | ['Metadata'] | O | {
"text": [],
"id": [],
"value": [],
"begin": [],
"end": [],
"tokenIndices": []
} | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | {
"ne_id_gov": [],
"ne_id_dep": [],
"label": []
} | steel_11 | train2 | steel |