Datasets:

bandoos
/

conll2003-mini

+---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: pos_tags
+    sequence:
+      class_label:
+        names:
+          '0': '"'
+          '1': ''''''
+          '2': '#'
+          '3': $
+          '4': (
+          '5': )
+          '6': ','
+          '7': .
+          '8': ':'
+          '9': '``'
+          '10': CC
+          '11': CD
+          '12': DT
+          '13': EX
+          '14': FW
+          '15': IN
+          '16': JJ
+          '17': JJR
+          '18': JJS
+          '19': LS
+          '20': MD
+          '21': NN
+          '22': NNP
+          '23': NNPS
+          '24': NNS
+          '25': NN|SYM
+          '26': PDT
+          '27': POS
+          '28': PRP
+          '29': PRP$
+          '30': RB
+          '31': RBR
+          '32': RBS
+          '33': RP
+          '34': SYM
+          '35': TO
+          '36': UH
+          '37': VB
+          '38': VBD
+          '39': VBG
+          '40': VBN
+          '41': VBP
+          '42': VBZ
+          '43': WDT
+          '44': WP
+          '45': WP$
+          '46': WRB
+  - name: chunk_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-ADJP
+          '2': I-ADJP
+          '3': B-ADVP
+          '4': I-ADVP
+          '5': B-CONJP
+          '6': I-CONJP
+          '7': B-INTJ
+          '8': I-INTJ
+          '9': B-LST
+          '10': I-LST
+          '11': B-NP
+          '12': I-NP
+          '13': B-PP
+          '14': I-PP
+          '15': B-PRT
+          '16': I-PRT
+          '17': B-SBAR
+          '18': I-SBAR
+          '19': B-UCP
+          '20': I-UCP
+          '21': B-VP
+          '22': I-VP
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-PER
+          '2': I-PER
+          '3': B-ORG
+          '4': I-ORG
+          '5': B-LOC
+          '6': I-LOC
+          '7': B-MISC
+          '8': I-MISC
+  config_name: conll2003-mini
+  splits:
+  - name: train
+    num_bytes: 8025
+    num_examples: 10
+  - name: validation
+    num_bytes: 9653
+    num_examples: 10
+  - name: test
+    num_bytes: 6638
+    num_examples: 10
+  download_size: 982975
+  dataset_size: 24316
+---

conll2003_mini.py → conll2003-mini.py RENAMED Viewed

@@ -80,9 +80,9 @@ class Conll2003(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         Conll2003Config(
-            name="conll2003",
             version=datasets.Version("1.0.0"),
-            description="Conll2003 dataset",
         ),
     ]

     BUILDER_CONFIGS = [
         Conll2003Config(
+            name="conll2003-mini",
             version=datasets.Version("1.0.0"),
+            description="Conll2003 dataset (mini version 10 samples)",
         ),
     ]

dataset_info.json ADDED Viewed

	@@ -0,0 +1,159 @@

+{
+  "description": "\n!! forked version producing at most 10 items per split !!\n\nThe shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on\nfour types of named entities: persons, locations, organizations and names of miscellaneous entities that do\nnot belong to the previous three groups.\n\nThe CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on\na separate line and there is an empty line after each sentence. The first item on each line is a word, the second\na part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags\nand the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only\nif two phrases of the same type immediately follow each other, the first word of the second phrase will have tag\nB-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2\ntagging scheme, whereas the original dataset uses IOB1.\n\nFor more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419\n",
+  "citation": "@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,\n    title = \"Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition\",\n    author = \"Tjong Kim Sang, Erik F.  and\n      De Meulder, Fien\",\n    booktitle = \"Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003\",\n    year = \"2003\",\n    url = \"https://www.aclweb.org/anthology/W03-0419\",\n    pages = \"142--147\",\n}\n",
+  "homepage": "https://www.aclweb.org/anthology/W03-0419/",
+  "license": "",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "tokens": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "pos_tags": {
+      "feature": {
+        "names": [
+          "\"",
+          "''",
+          "#",
+          "$",
+          "(",
+          ")",
+          ",",
+          ".",
+          ":",
+          "``",
+          "CC",
+          "CD",
+          "DT",
+          "EX",
+          "FW",
+          "IN",
+          "JJ",
+          "JJR",
+          "JJS",
+          "LS",
+          "MD",
+          "NN",
+          "NNP",
+          "NNPS",
+          "NNS",
+          "NN|SYM",
+          "PDT",
+          "POS",
+          "PRP",
+          "PRP$",
+          "RB",
+          "RBR",
+          "RBS",
+          "RP",
+          "SYM",
+          "TO",
+          "UH",
+          "VB",
+          "VBD",
+          "VBG",
+          "VBN",
+          "VBP",
+          "VBZ",
+          "WDT",
+          "WP",
+          "WP$",
+          "WRB"
+        ],
+        "_type": "ClassLabel"
+      },
+      "_type": "Sequence"
+    },
+    "chunk_tags": {
+      "feature": {
+        "names": [
+          "O",
+          "B-ADJP",
+          "I-ADJP",
+          "B-ADVP",
+          "I-ADVP",
+          "B-CONJP",
+          "I-CONJP",
+          "B-INTJ",
+          "I-INTJ",
+          "B-LST",
+          "I-LST",
+          "B-NP",
+          "I-NP",
+          "B-PP",
+          "I-PP",
+          "B-PRT",
+          "I-PRT",
+          "B-SBAR",
+          "I-SBAR",
+          "B-UCP",
+          "I-UCP",
+          "B-VP",
+          "I-VP"
+        ],
+        "_type": "ClassLabel"
+      },
+      "_type": "Sequence"
+    },
+    "ner_tags": {
+      "feature": {
+        "names": [
+          "O",
+          "B-PER",
+          "I-PER",
+          "B-ORG",
+          "I-ORG",
+          "B-LOC",
+          "I-LOC",
+          "B-MISC",
+          "I-MISC"
+        ],
+        "_type": "ClassLabel"
+      },
+      "_type": "Sequence"
+    }
+  },
+  "builder_name": "conll2003-mini",
+  "config_name": "conll2003-mini",
+  "version": {
+    "version_str": "1.0.0",
+    "major": 1,
+    "minor": 0,
+    "patch": 0
+  },
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 8025,
+      "num_examples": 10,
+      "dataset_name": "conll2003-mini"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 9653,
+      "num_examples": 10,
+      "dataset_name": "conll2003-mini"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 6638,
+      "num_examples": 10,
+      "dataset_name": "conll2003-mini"
+    }
+  },
+  "download_checksums": {
+    "https://data.deepai.org/conll2003.zip": {
+      "num_bytes": 982975,
+      "checksum": null
+    }
+  },
+  "download_size": 982975,
+  "dataset_size": 24316,
+  "size_in_bytes": 1007291
+}