Datasets:

Modalities:
Tabular
Text
Languages:
English
ArXiv:
Libraries:
Datasets
License:
phucdev commited on
Commit
4e96a0e
·
1 Parent(s): 643d6a8

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -2
README.md CHANGED
@@ -211,6 +211,8 @@ The language data in KBP37 is in English (BCP-47 en)
211
  ### Data Instances
212
 
213
  #### kbp37
 
 
214
  An example of 'train' looks as follows:
215
  ```json
216
  {
@@ -221,6 +223,8 @@ An example of 'train' looks as follows:
221
  ```
222
 
223
  #### kbp37_formatted
 
 
224
  An example of 'train' looks as follows:
225
  ```json
226
  {
@@ -239,7 +243,11 @@ An example of 'train' looks as follows:
239
  #### kbp37
240
  - `id`: the instance id of this sentence, a `string` feature.
241
  - `sentence`: the sentence, a `string` features.
242
- - `relation`: the relation label of this instance, a `string` classification label.
 
 
 
 
243
 
244
  #### kbp37_formatted
245
  - `id`: the instance id of this sentence, a `string` feature.
@@ -248,7 +256,7 @@ An example of 'train' looks as follows:
248
  - `subj_end`: the 0-based index of the end token of the relation subject mention, exclusive, an `ìnt` feature.
249
  - `obj_start`: the 0-based index of the start token of the relation object mention, an `ìnt` feature.
250
  - `obj_end`: the 0-based index of the end token of the relation object mention, exclusive, an `ìnt` feature.
251
- - `relation`: the relation label of this instance, a `string` classification label.
252
 
253
  ### Data Splits
254
 
 
211
  ### Data Instances
212
 
213
  #### kbp37
214
+ - **Size of downloaded dataset files:** 5.11 MB
215
+ - **Size of the generated dataset:** 4.7 MB
216
  An example of 'train' looks as follows:
217
  ```json
218
  {
 
223
  ```
224
 
225
  #### kbp37_formatted
226
+ - **Size of downloaded dataset files:** 5.11 MB
227
+ - **Size of the generated dataset:** 6.58 MB
228
  An example of 'train' looks as follows:
229
  ```json
230
  {
 
243
  #### kbp37
244
  - `id`: the instance id of this sentence, a `string` feature.
245
  - `sentence`: the sentence, a `string` features.
246
+ - `relation`: the relation label of this instance, an `int` classification label.
247
+
248
+ ```python
249
+ {"no_relation": 0, "org:alternate_names(e1,e2)": 1, "org:alternate_names(e2,e1)": 2, "org:city_of_headquarters(e1,e2)": 3, "org:city_of_headquarters(e2,e1)": 4, "org:country_of_headquarters(e1,e2)": 5, "org:country_of_headquarters(e2,e1)": 6, "org:founded(e1,e2)": 7, "org:founded(e2,e1)": 8, "org:founded_by(e1,e2)": 9, "org:founded_by(e2,e1)": 10, "org:members(e1,e2)": 11, "org:members(e2,e1)": 12, "org:stateorprovince_of_headquarters(e1,e2)": 13, "org:stateorprovince_of_headquarters(e2,e1)": 14, "org:subsidiaries(e1,e2)": 15, "org:subsidiaries(e2,e1)": 16, "org:top_members/employees(e1,e2)": 17, "org:top_members/employees(e2,e1)": 18, "per:alternate_names(e1,e2)": 19, "per:alternate_names(e2,e1)": 20, "per:cities_of_residence(e1,e2)": 21, "per:cities_of_residence(e2,e1)": 22, "per:countries_of_residence(e1,e2)": 23, "per:countries_of_residence(e2,e1)": 24, "per:country_of_birth(e1,e2)": 25, "per:country_of_birth(e2,e1)": 26, "per:employee_of(e1,e2)": 27, "per:employee_of(e2,e1)": 28, "per:origin(e1,e2)": 29, "per:origin(e2,e1)": 30, "per:spouse(e1,e2)": 31, "per:spouse(e2,e1)": 32, "per:stateorprovinces_of_residence(e1,e2)": 33, "per:stateorprovinces_of_residence(e2,e1)": 34, "per:title(e1,e2)": 35, "per:title(e2,e1)": 36}
250
+ ```
251
 
252
  #### kbp37_formatted
253
  - `id`: the instance id of this sentence, a `string` feature.
 
256
  - `subj_end`: the 0-based index of the end token of the relation subject mention, exclusive, an `ìnt` feature.
257
  - `obj_start`: the 0-based index of the start token of the relation object mention, an `ìnt` feature.
258
  - `obj_end`: the 0-based index of the end token of the relation object mention, exclusive, an `ìnt` feature.
259
+ - `relation`: the relation label of this instance, an `int` classification label (same as `'kbp37''`).
260
 
261
  ### Data Splits
262