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--- |
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language: |
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- en |
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paperswithcode_id: conll-2000-1 |
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pretty_name: CoNLL-2000 |
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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': CC |
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'10': CD |
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'11': DT |
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'12': EX |
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'13': FW |
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'14': IN |
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'15': JJ |
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'16': JJR |
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'17': JJS |
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'18': MD |
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'19': NN |
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'20': NNP |
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'21': NNPS |
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'22': NNS |
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'23': PDT |
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'24': POS |
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'25': PRP |
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'26': PRP$ |
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'27': RB |
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'28': RBR |
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'29': RBS |
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'30': RP |
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'31': SYM |
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'32': TO |
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'33': UH |
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'34': VB |
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'35': VBD |
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'36': VBG |
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'37': VBN |
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'38': VBP |
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'39': VBZ |
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'40': WDT |
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'41': WP |
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'42': WP$ |
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'43': 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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splits: |
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- name: train |
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num_bytes: 5356965 |
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num_examples: 8937 |
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- name: test |
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num_bytes: 1201151 |
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num_examples: 2013 |
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download_size: 3481560 |
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dataset_size: 6558116 |
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--- |
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|
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# Dataset Card for "conll2000" |
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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:** [https://www.clips.uantwerpen.be/conll2000/chunking/](https://www.clips.uantwerpen.be/conll2000/chunking/) |
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Size of downloaded dataset files:** 3.32 MB |
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- **Size of the generated dataset:** 6.25 MB |
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- **Total amount of disk used:** 9.57 MB |
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### Dataset Summary |
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Text chunking consists of dividing a text in syntactically correlated parts of words. For example, the sentence |
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He reckons the current account deficit will narrow to only # 1.8 billion in September . can be divided as follows: |
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[NP He ] [VP reckons ] [NP the current account deficit ] [VP will narrow ] [PP to ] [NP only # 1.8 billion ] |
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[PP in ] [NP September ] . |
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Text chunking is an intermediate step towards full parsing. It was the shared task for CoNLL-2000. Training and test |
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data for this task is available. This data consists of the same partitions of the Wall Street Journal corpus (WSJ) |
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as the widely used data for noun phrase chunking: sections 15-18 as training data (211727 tokens) and section 20 as |
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test data (47377 tokens). The annotation of the data has been derived from the WSJ corpus by a program written by |
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Sabine Buchholz from Tilburg University, The Netherlands. |
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### Supported Tasks and Leaderboards |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Languages |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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|
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## Dataset Structure |
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### Data Instances |
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#### conll2000 |
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- **Size of downloaded dataset files:** 3.32 MB |
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- **Size of the generated dataset:** 6.25 MB |
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- **Total amount of disk used:** 9.57 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, 13, 11, 12, 21, 22, 22, 22, 22, 11, 12, 12, 17, 11, 12, 13, 11, 0, 1, 13, 11, 11, 0, 21, 22, 22, 11, 12, 12, 13, 11, 12, 12, 11, 12, 12, 0], |
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"id": "0", |
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"pos_tags": [19, 14, 11, 19, 39, 27, 37, 32, 34, 11, 15, 19, 14, 19, 22, 14, 20, 5, 15, 14, 19, 19, 5, 34, 32, 34, 11, 15, 19, 14, 20, 9, 20, 24, 15, 22, 6], |
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"tokens": "[\"Confidence\", \"in\", \"the\", \"pound\", \"is\", \"widely\", \"expected\", \"to\", \"take\", \"another\", \"sharp\", \"dive\", \"if\", \"trade\", \"figur..." |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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|
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#### conll2000 |
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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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### Data Splits |
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|
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| name |train|test| |
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|---------|----:|---:| |
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|conll2000| 8937|2013| |
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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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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|
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### Source Data |
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#### Initial Data Collection and Normalization |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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|
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### Discussion of Biases |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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|
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### Licensing Information |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Citation Information |
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``` |
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@inproceedings{tksbuchholz2000conll, |
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author = "Tjong Kim Sang, Erik F. and Sabine Buchholz", |
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title = "Introduction to the CoNLL-2000 Shared Task: Chunking", |
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editor = "Claire Cardie and Walter Daelemans and Claire |
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Nedellec and Tjong Kim Sang, Erik", |
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booktitle = "Proceedings of CoNLL-2000 and LLL-2000", |
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publisher = "Lisbon, Portugal", |
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pages = "127--132", |
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year = "2000" |
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} |
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|
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``` |
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### Contributions |
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Thanks to [@vblagoje](https://github.com/vblagoje), [@jplu](https://github.com/jplu) for adding this dataset. |
