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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license:
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+ - unknown
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - extended|conll2003
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - named-entity-recognition
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+ paperswithcode_id: conll
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+ pretty_name: CoNLL++
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+ train-eval-index:
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+ - config: conllpp
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+ task: token-classification
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+ task_id: entity_extraction
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+ splits:
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+ train_split: train
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+ eval_split: test
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+ col_mapping:
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+ tokens: tokens
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+ ner_tags: tags
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+ metrics:
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+ - type: seqeval
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+ name: seqeval
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: tokens
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+ sequence: string
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+ - name: pos_tags
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+ sequence:
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+ class_label:
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+ names:
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+ 0: '"'
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+ 1: ''''''
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+ 2: '#'
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+ 3: $
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+ 4: (
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+ 5: )
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+ 6: ','
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+ 7: .
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+ 8: ':'
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+ 9: '``'
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+ 10: CC
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+ 11: CD
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+ 12: DT
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+ 13: EX
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+ 14: FW
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+ 15: IN
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+ 16: JJ
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+ 17: JJR
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+ 18: JJS
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+ 19: LS
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+ 20: MD
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+ 21: NN
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+ 22: NNP
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+ 23: NNPS
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+ 24: NNS
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+ 25: NN|SYM
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+ 26: PDT
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+ 27: POS
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+ 28: PRP
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+ 29: PRP$
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+ 30: RB
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+ 31: RBR
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+ 32: RBS
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+ 33: RP
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+ 34: SYM
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+ 35: TO
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+ 36: UH
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+ 37: VB
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+ 38: VBD
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+ 39: VBG
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+ 40: VBN
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+ 41: VBP
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+ 42: VBZ
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+ 43: WDT
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+ 44: WP
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+ 45: WP$
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+ 46: WRB
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+ - name: chunk_tags
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+ sequence:
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+ class_label:
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+ names:
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+ 0: O
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+ 1: B-ADJP
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+ 2: I-ADJP
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+ 3: B-ADVP
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+ 4: I-ADVP
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+ 5: B-CONJP
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+ 6: I-CONJP
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+ 7: B-INTJ
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+ 8: I-INTJ
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+ 9: B-LST
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+ 10: I-LST
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+ 11: B-NP
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+ 12: I-NP
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+ 13: B-PP
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+ 14: I-PP
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+ 15: B-PRT
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+ 16: I-PRT
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+ 17: B-SBAR
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+ 18: I-SBAR
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+ 19: B-UCP
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+ 20: I-UCP
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+ 21: B-VP
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+ 22: I-VP
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+ - name: ner_tags
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+ sequence:
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+ class_label:
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+ names:
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+ 0: O
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+ 1: B-PER
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+ 2: I-PER
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+ 3: B-ORG
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+ 4: I-ORG
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+ 5: B-LOC
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+ 6: I-LOC
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+ 7: B-MISC
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+ 8: I-MISC
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+ config_name: conllpp
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+ splits:
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+ - name: train
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+ num_bytes: 6931393
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+ num_examples: 14041
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+ - name: validation
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+ num_bytes: 1739247
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+ num_examples: 3250
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+ - name: test
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+ num_bytes: 1582078
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+ num_examples: 3453
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+ download_size: 4859600
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+ dataset_size: 10252718
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+ ---
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+
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+ # Dataset Card for "conllpp"
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [Github](https://github.com/ZihanWangKi/CrossWeigh)
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+ - **Repository:** [Github](https://github.com/ZihanWangKi/CrossWeigh)
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+ - **Paper:** [Aclweb](https://www.aclweb.org/anthology/D19-1519)
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ CoNLLpp is a corrected version of the CoNLL2003 NER dataset where labels of 5.38% of the sentences in the test set
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+ have been manually corrected. The training set and development set from CoNLL2003 is included for completeness. One
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+ correction on the test set for example, is:
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+
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+ ```
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+ {
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+ "tokens": ["SOCCER", "-", "JAPAN", "GET", "LUCKY", "WIN", ",", "CHINA", "IN", "SURPRISE", "DEFEAT", "."],
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+ "original_ner_tags_in_conll2003": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O"],
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+ "corrected_ner_tags_in_conllpp": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O"],
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+ }
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+ ```
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ #### conllpp
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+
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+ - **Size of downloaded dataset files:** 4.85 MB
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+ - **Size of the generated dataset:** 10.26 MB
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+ - **Total amount of disk used:** 15.11 MB
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+
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+ An example of 'train' looks as follows.
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+ ```
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+ This example was too long and was cropped:
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+
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+ {
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+ "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],
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+ "id": "0",
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+ "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],
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+ "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],
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+ "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", "."]
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ #### conllpp
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+ - `id`: a `string` feature.
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+ - `tokens`: a `list` of `string` features.
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+ - `pos_tags`: a `list` of classification labels, with possible values including `"` (0), `''` (1), `#` (2), `$` (3), `(` (4).
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+ - `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).
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+ - `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).
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+
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+ ### Data Splits
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+
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+ | name |train|validation|test|
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+ |---------|----:|---------:|---:|
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+ |conll2003|14041| 3250|3453|
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
281
+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ ```
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+ @inproceedings{wang2019crossweigh,
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+ title={CrossWeigh: Training Named Entity Tagger from Imperfect Annotations},
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+ author={Wang, Zihan and Shang, Jingbo and Liu, Liyuan and Lu, Lihao and Liu, Jiacheng and Han, Jiawei},
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+ 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)},
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+ pages={5157--5166},
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+ year={2019}
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Thanks to [@ZihanWangKi](https://github.com/ZihanWangKi) for adding this dataset.