Add 'document_id' and 'sentence_id' columns

README.md

@@ -219,11 +219,13 @@ An example of 'train' looks as follows.
 
 ```
 {
-    "chunk_tags": [11, 12, 12, 21, 13, 11, 11, 21, 13, 11, 12, 13, 11, 21, 22, 11, 12, 17, 11, 21, 17, 11, 12, 12, 21, 22, 22, 13, 11, 0],
     "id": "0",
-    "ner_tags": [0, 3, 4, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+    "document_id": 1,
+    "sentence_id": 3,
+    "tokens": ["The", "European", "Commission", "said", "on", "Thursday", "it", "disagreed", "with", "German", "advice", "to", "consumers", "to", "shun", "British",      "lamb", "until", "scientists", "determine", "whether", "mad", "cow", "disease", "can", "be", "transmitted", "to", "sheep", "."]
     "pos_tags": [12, 22, 22, 38, 15, 22, 28, 38, 15, 16, 21, 35, 24, 35, 37, 16, 21, 15, 24, 41, 15, 16, 21, 21, 20, 37, 40, 35, 21, 7],
-    "tokens": ["The", "European", "Commission", "said", "on", "Thursday", "it", "disagreed", "with", "German", "advice", "to", "consumers", "to", "shun", "British", "lamb", "until", "scientists", "determine", "whether", "mad", "cow", "disease", "can", "be", "transmitted", "to", "sheep", "."]
+    "ner_tags": [0, 3, 4, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+    "chunk_tags": [11, 12, 12, 21, 13, 11, 11, 21, 13, 11, 12, 13, 11, 21, 22, 11, 12, 17, 11, 21, 17, 11, 12, 12, 21, 22, 22, 13, 11, 0],
 }
 ```
 
@@ -236,6 +238,8 @@ The data fields are the same among all splits.
 
 #### conll2003
 - `id`: a `string` feature.
+- `document_id`: an `int32` feature tracking which document the sample is from.
+- `sentence_id`: an `int32` feature tracking which sentence in this document the sample is from.
 - `tokens`: a `list` of `string` features.
 - `pos_tags`: a `list` of classification labels (`int`). Full tagset with indices:
 

conll2003.py

@@ -83,6 +83,8 @@ class Conll2003(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "id": datasets.Value("string"),
+                    "document_id": datasets.Value("int32"),
+                    "sentence_id": datasets.Value("int32"),
                     "tokens": datasets.Sequence(datasets.Value("string")),
                     "pos_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
@@ -207,20 +209,28 @@ class Conll2003(datasets.GeneratorBasedBuilder):
         logger.info("⏳ Generating examples from = %s", filepath)
         with open(filepath, encoding="utf-8") as f:
             guid = 0
+            document_id = 0
+            sentence_id = 0
             tokens = []
             pos_tags = []
             chunk_tags = []
             ner_tags = []
             for line in f:
                 if line.startswith("-DOCSTART-") or line == "" or line == "\n":
+                    if line.startswith("-DOCSTART-"):
+                        document_id += 1
+                        sentence_id = 0
                     if tokens:
                         yield guid, {
                             "id": str(guid),
+                            "document_id": document_id,
+                            "sentence_id": sentence_id,
                             "tokens": tokens,
                             "pos_tags": pos_tags,
                             "chunk_tags": chunk_tags,
                             "ner_tags": ner_tags,
                         }
+                        sentence_id += 1
                         guid += 1
                         tokens = []
                         pos_tags = []
@@ -237,6 +247,8 @@ class Conll2003(datasets.GeneratorBasedBuilder):
             if tokens:
                 yield guid, {
                     "id": str(guid),
+                    "document_id": document_id,
+                    "sentence_id": sentence_id,
                     "tokens": tokens,
                     "pos_tags": pos_tags,
                     "chunk_tags": chunk_tags,