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README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- found
-language:
-- en
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- extended|conll2003
-task_categories:
-- token-classification
-task_ids:
-- named-entity-recognition
-paperswithcode_id: conll
-pretty_name: CoNLL++
-train-eval-index:
-- config: conllpp
-  task: token-classification
-  task_id: entity_extraction
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    tokens: tokens
-    ner_tags: tags
-  metrics:
-  - type: seqeval
-    name: seqeval
-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-DEGREE
-          2: I-DEGREE
-  config_name: conllpp
-  splits:
-  - name: train
-    num_bytes: 6931393
-    num_examples: 14041
-  - name: validation
-    num_bytes: 1739247
-    num_examples: 3250
-  - name: test
-    num_bytes: 1582078
-    num_examples: 3453
-  download_size: 4859600
-  dataset_size: 10252718
----
-
-# Dataset Card for "conllpp"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [Github](https://github.com/ZihanWangKi/CrossWeigh)
-- **Repository:** [Github](https://github.com/ZihanWangKi/CrossWeigh)
-- **Paper:** [Aclweb](https://www.aclweb.org/anthology/D19-1519)
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-CoNLLpp is a corrected version of the CoNLL2003 NER dataset where labels of 5.38% of the sentences in the test set
-have been manually corrected. The training set and development set from CoNLL2003 is included for completeness. One 
-correction on the test set for example, is:
-
-```
-{
-    "tokens": ["SOCCER", "-", "JAPAN", "GET", "LUCKY", "WIN", ",", "CHINA", "IN", "SURPRISE", "DEFEAT", "."],
-    "original_ner_tags_in_conll2003": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O"],
-    "corrected_ner_tags_in_conllpp": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O"],
-}
-```
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-[More Information Needed]
-
-## Dataset Structure
-
-### Data Instances
-
-#### conllpp
-
-- **Size of downloaded dataset files:** 4.85 MB
-- **Size of the generated dataset:** 10.26 MB
-- **Total amount of disk used:** 15.11 MB
-
-An example of 'train' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "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],
-    "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", "."]
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### conllpp
-- `id`: a `string` feature.
-- `tokens`: a `list` of `string` features.
-- `pos_tags`: a `list` of classification labels, with possible values including `"` (0), `''` (1), `#` (2), `$` (3), `(` (4).
-- `chunk_tags`: a `list` of classification labels, with possible values including `O` (0), `B-ADJP` (1), `I-ADJP` (2), `B-ADVP` (3), `I-ADVP` (4).
-- `ner_tags`: a `list` of classification labels, with possible values including `O` (0), `B-PER` (1), `I-PER` (2), `B-ORG` (3), `I-ORG` (4).
-
-### Data Splits
-
-|  name   |train|validation|test|
-|---------|----:|---------:|---:|
-|conll2003|14041|      3250|3453|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-```
-@inproceedings{wang2019crossweigh,
-  title={CrossWeigh: Training Named Entity Tagger from Imperfect Annotations},
-  author={Wang, Zihan and Shang, Jingbo and Liu, Liyuan and Lu, Lihao and Liu, Jiacheng and Han, Jiawei},
-  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
-  pages={5157--5166},
-  year={2019}
-}
-```
-
-### Contributions
-
-Thanks to [@ZihanWangKi](https://github.com/ZihanWangKi) for adding this dataset.