add dataset card

README.md

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+---
+language:
+- de
+license: cc-by-nc-nd-4.0
+tags:
+- text classification
+- multi-label
+- ICD-10
+- ICD-10-GM
+- animal experiment
+- non-technical summaries
+- text mining
+- document indexing
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+pretty_name: CLEF eHealth 2019
+size_categories:
+- 1K<n<10K
+task_categories:
+- text-classification
+task_ids:
+- multi-label-classification
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: title
+    dtype: string
+  - name: goals
+    dtype: string
+  - name: harms
+    dtype: string
+  - name: replacement
+    dtype: string
+  - name: reduction
+    dtype: string
+  - name: refinement
+    dtype: string
+  - name: labels
+    sequence: string
+  splits:
+  - name: train
+    num_bytes: 17863816
+    num_examples: 5854
+  - name: validation
+    num_bytes: 1972708
+    num_examples: 654
+  - name: test
+    num_bytes: 950832
+    num_examples: 314
+  download_size: 20791475
+  dataset_size: 20787356
+---
+
+# Dataset Card for CLEF eHealth 2019 Task 1
+
+## Table of Contents
+- [Table of Contents](#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 (Train + Dev set):** https://www.openagrar.de/receive/openagrar_mods_00046540
+- **Homepage (Test set):** https://www.openagrar.de/receive/openagrar_mods_00049062
+- **Repository:** https://github.com/mariananeves/clef19ehealth-task1
+- **Paper:** https://doi.org/10.17590/20190506-101759
+- **Point of Contact:** [Mariana Neves](mailto:[email protected] )
+
+### Dataset Summary
+
+Dataset containing 8,386 non-technical summaries (NTS) of animal experiments
+recently carried out in Germany (as of September 19, 2018) and originally
+on-line available at the [AnimalTestInfo](http://animaltestinfo.de) database.
+Each NTS contains a title, uses (goals) of the experiments, possible harms
+caused to the animals, and comments about replacement, reduction and refinement
+(in the scope of the 3R principles). All documents are in the German language.
+The dataset includes the ICD-10 codes manually assigned by experts to the NTS.
+However, some NTSs have no ICD-10 codes assigned to them, as the codes were not
+applicable to the uses described in the NTS. These are not included in the
+huggingface dataset. All codes are chapters or groups from the [ICD-10 German Modification 2016 version](https://www.dimdi.de/static/de/klassifikationen/icd/icd-10-gm/kode-suche/htmlgm2016/).
+Finally, the dataset is split into training and development datasets which are
+meant to be used in the [CLEF eHealth 2019, Task 1 - Multilingual Information Extraction](https://sites.google.com/view/clefehealth2019/task-1-multilingual-information-extraction-icd10-coding).
+
+### Supported Tasks and Leaderboards
+
+Mutli-Label Classification.
+
+### Languages
+
+German (`de`)
+
+## Dataset Structure
+
+### Data Instances
+
+An example of 'train' looks as follows.
+```
+{
+  "id": "id of NTS",
+  "title": "title of NTS",
+  "goals": "uses (goals) of the experiments",
+  "harms": "possible harms caused to the animals",
+  "replacement": "comments about replacement (in the scope of the 3R principles)",
+  "reduction": "comments about reduction (in the scope of the 3R principles)",
+  "refinement": "comments about refinement (in the scope of the 3R principles),
+  "labels": ["J40-J47", "X"]
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- "id": a `string` feature.
+- "title": a `string` feature.
+- "goals": a `string` feature.
+- "harms": a `string` feature.
+- "replacement": a `string` feature.
+- "reduction": a `string` feature.
+- "refinement": a `string` feature.
+- "labels": a list of `string` features.
+
+### Data Splits
+
+The dataset has 3 splits: _train_, _validation_, and _test_.
+
+| Dataset Split | Number of Instances in Split |
+| ------------- | ---------------------------- |
+| Train         | 5854                         |
+| Validation    | 654                          |
+| Test          | 654                          |
+
+## 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
+
+This data was originally collected by Mariana Neves, Daniel Butzke, Antje Dörendahl, Nora Leich, Barbara Grune, Gilbert Schönfelder of Bundesinstitut für Risikobewertung (BfR).
+
+### Licensing Information
+
+The dataset is distributed under the CC BY-NC-ND 4.0 license.
+
+### Citation Information
+
+Training and Development/Validation set:
+```
+@Misc{openagrar_mods_00046540,
+  author = 	{Neves, Mariana
+		and Butzke, Daniel
+		and D{\"o}rendahl, Antje
+		and Leich, Nora
+		and Grune, Barbara
+		and Sch{\"o}nfelder, Gilbert},
+  title = 	{Non-technical Summaries (NTS) of Animal Experiments Indexed with ICD-10 Codes (Version 1.0)},
+  year = 	{2019},
+  month = 	{Jan},
+  day = 	{18},
+  publisher = 	{Open Agrar Repository},
+  keywords = 	{animal experiment; non-technical summaries; ICD-10 codes; text mining; document indexing; Deutschland},
+  abstract = 	{Dataset containing 8,386 non-technical summaries (NTS) of animal experiments recently carried out in Germany (as of September 19, 2018) and originally on-line available at the AnimalTestInfo database (http://animaltestinfo.de).  Each NTS contains a title, uses (goals) of the experiments, possible harms caused to the animals, and comments about replacement, reduction and refinement (in the scope of the 3R principles).  All documents are in the German language. The dataset includes the ICD-10 codes manually assigned by experts to the NTS. However, some NTSs have no ICD-10 codes assigned to them, as the codes were not applicable to the uses described in the NTS. All codes are chapters or groups from the ICD-10 German Modification 2016 version (https://www.dimdi.de/static/de/klassifikationen/icd/icd-10-gm/kode-suche/htmlgm2016/). Finally, the dataset is split into training and development datasets which are meant to be used in the CLEF eHealth 2019, Task 1 - Multilingual Information Extraction (https://sites.google.com/view/clefehealth2019/task-1-multilingual-information-extraction-icd10-coding).},
+  doi = 	{10.17590/20190118-134645-0},
+  url = 	{https://www.openagrar.de/receive/openagrar_mods_00046540},
+  url = 	{https://doi.org/10.17590/20190118-134645-0},
+  file = 	{:https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00019621/nts-icd.zip:TYPE},
+  language = 	{en}
+}
+```
+
+Test set:
+```
+@Misc{openagrar_mods_00049062,
+  author = 	{Neves, Mariana
+		and Butzke, Daniel
+		and D{\"o}rendahl, Antje
+		and Leich, Nora
+		and Grune, Barbara
+		and Sch{\"o}nfelder, Gilbert},
+  title = 	{Test set of Non-technical Summaries (NTS) of Animal Experiments Indexed with ICD-10 Codes (Version 1.0)},
+  year = 	{2019},
+  month = 	{May},
+  day = 	{06},
+  publisher = 	{Open Agrar Repository},
+  keywords = 	{animal experiment; non-technical summaries; ICD-10 codes; text mining; document indexing; Deutschland},
+  abstract = 	{This is the official test set of the CLEF eHealth 2019, Task 1 - Multilingual Information Extraction (http://clef-ehealth.org/).
+It contains 407 non-technical summaries (NTS) of animal experiments planned to be carried out in Germany and originally online available at the AnimalTestInfo database (http://animaltestinfo.de).  Each NTS contains a title, benefits (goals) of the experiments, possible harms caused to the animals, and comments about replacement, reduction and refinement (in the scope of the 3R principles).  All documents are in the German language.
+The dataset includes the ICD-10 codes manually assigned by experts to the NTS. However, some NTSs have no ICD-10 codes assigned to them, as the codes were not applicable to the uses described in the NTS. All codes are chapters or groups from the ICD-10 German Modification 2016 version (https://www.dimdi.de/static/de/klassifikationen/icd/icd-10-gm/kode-suche/htmlgm2016/).},
+  doi = 	{10.17590/20190506-101759},
+  url = 	{https://www.openagrar.de/receive/openagrar_mods_00049062},
+  url = 	{https://doi.org/10.17590/20190506-101759},
+  file = 	{:https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00021578/nts_icd.zip:TYPE},
+  language = 	{en}
+}
+```
+
+### Contributions
+
+Thanks to [@heliumind](https://github.com/heliumind) for adding this dataset.