
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:**  https://www.circl.lu/opendata/datasets/circl-ail-dataset-01/
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** @Electronic{CIRCL-AILDS2019, author = {Vincent Falconieri}, month = {07}, year = {2019}, title = {CIRCL Images AIL Dataset}, organization = {CIRCL}, address = {CIRCL - Computer Incident Response Center Luxembourg c/o "security made in Lëtzebuerg" (SMILE) g.i.e. 122, rue Adolphe Fischer L-1521 Luxembourg Grand-Duchy of Luxembourg}, url = {https://www.circl.lu/opendata/circl-ail-dataset-01/}, abstract = {This dataset is named circl-ail-dataset-01 and is composed of Tor hidden services websites screenshots. Around 37000+ pictures are in this dataset to date.}, }
 

### Dataset Summary

---
task_categories:
- image-classification
pretty_name: Subset of circl-ail-dataset-01
size_categories:
- 1K<n<10K
---

This is a subset of circl-ail-dataset-01 dataset with these labels ["marketplace","forum","general"] each label has 1000 images

circl-ail-dataset-01

This dataset is named circl-ail-dataset-01 and is composed of AIL’s scraped onion websites. Around 37500 pictures are in this dataset to date.

Only one label-classification (DataTurks direct output) is provided along with the dataset. This classification is per part and will be improved and updated as soon as classification operations had been achieved.

Direct link : https://www.circl.lu/opendata/datasets/circl-ail-dataset-01/


### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

https://www.circl.lu/opendata/datasets/circl-ail-dataset-01/

#### 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

[More Information Needed]

### Contributions

[More Information Needed]
region:us
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TAGS
#region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Homepage:  URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: @Electronic{CIRCL-AILDS2019, author = {Vincent Falconieri}, month = {07}, year = {2019}, title = {CIRCL Images AIL Dataset}, organization = {CIRCL}, address = {CIRCL - Computer Incident Response Center Luxembourg c/o "security made in Lëtzebuerg" (SMILE) g.i.e. 122, rue Adolphe Fischer L-1521 Luxembourg Grand-Duchy of Luxembourg}, url = {URL abstract = {This dataset is named circl-ail-dataset-01 and is composed of Tor hidden services websites screenshots. Around 37000+ pictures are in this dataset to date.}, }
 

### Dataset Summary

---
task_categories:
- image-classification
pretty_name: Subset of circl-ail-dataset-01
size_categories:
- 1K<n<10K
---

This is a subset of circl-ail-dataset-01 dataset with these labels ["marketplace","forum","general"] each label has 1000 images

circl-ail-dataset-01

This dataset is named circl-ail-dataset-01 and is composed of AIL’s scraped onion websites. Around 37500 pictures are in this dataset to date.

Only one label-classification (DataTurks direct output) is provided along with the dataset. This classification is per part and will be improved and updated as soon as classification operations had been achieved.

Direct link : URL


### Supported Tasks and Leaderboards



### Languages



## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

URL

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# Dataset Card for Dataset Name ## Dataset Description

- Homepage:  URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: @Electronic{CIRCL-AILDS2019, author = {Vincent Falconieri}, month = {07}, year = {2019}, title = {CIRCL Images AIL Dataset}, organization = {CIRCL}, address = {CIRCL - Computer Incident Response Center Luxembourg c/o "security made in Lëtzebuerg" (SMILE) g.i.e. 122, rue Adolphe Fischer L-1521 Luxembourg Grand-Duchy of Luxembourg}, url = {URL abstract = {This dataset is named circl-ail-dataset-01 and is composed of Tor hidden services websites screenshots. Around 37000+ pictures are in this dataset to date.}, } ### Dataset Summary

---
task_categories:
- image-classification
pretty_name: Subset of circl-ail-dataset-01
size_categories:
- 1K<n<10K
---

This is a subset of circl-ail-dataset-01 dataset with these labels ["marketplace","forum","general"] each label has 1000 images

circl-ail-dataset-01

This dataset is named circl-ail-dataset-01 and is composed of AIL’s scraped onion websites. Around 37500 pictures are in this dataset to date.

Only one label-classification (DataTurks direct output) is provided along with the dataset. This classification is per part and will be improved and updated as soon as classification operations had been achieved.

Direct link : URL ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data

URL #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage:  URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: @Electronic{CIRCL-AILDS2019, author = {Vincent Falconieri}, month = {07}, year = {2019}, title = {CIRCL Images AIL Dataset}, organization = {CIRCL}, address = {CIRCL - Computer Incident Response Center Luxembourg c/o "security made in Lëtzebuerg" (SMILE) g.i.e. 122, rue Adolphe Fischer L-1521 Luxembourg Grand-Duchy of Luxembourg}, url = {URL abstract = {This dataset is named circl-ail-dataset-01 and is composed of Tor hidden services websites screenshots. Around 37000+ pictures are in this dataset to date.}, } ### Dataset Summary

---
task_categories:
- image-classification
pretty_name: Subset of circl-ail-dataset-01
size_categories:
- 1K<n<10K
---

This is a subset of circl-ail-dataset-01 dataset with these labels ["marketplace","forum","general"] each label has 1000 images

circl-ail-dataset-01

This dataset is named circl-ail-dataset-01 and is composed of AIL’s scraped onion websites. Around 37500 pictures are in this dataset to date.

Only one label-classification (DataTurks direct output) is provided along with the dataset. This classification is per part and will be improved and updated as soon as classification operations had been achieved.

Direct link : URL ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data

URL #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
passage: TAGS
#region-us 
# Dataset Card for Dataset Name## Dataset Description

- Homepage:  URL
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: @Electronic{CIRCL-AILDS2019, author = {Vincent Falconieri}, month = {07}, year = {2019}, title = {CIRCL Images AIL Dataset}, organization = {CIRCL}, address = {CIRCL - Computer Incident Response Center Luxembourg c/o "security made in Lëtzebuerg" (SMILE) g.i.e. 122, rue Adolphe Fischer L-1521 Luxembourg Grand-Duchy of Luxembourg}, url = {URL abstract = {This dataset is named circl-ail-dataset-01 and is composed of Tor hidden services websites screenshots. Around 37000+ pictures are in this dataset to date.}, }### Dataset Summary

---
task_categories:
- image-classification
pretty_name: Subset of circl-ail-dataset-01
size_categories:
- 1K<n<10K
---

This is a subset of circl-ail-dataset-01 dataset with these labels ["marketplace","forum","general"] each label has 1000 images

circl-ail-dataset-01

This dataset is named circl-ail-dataset-01 and is composed of AIL’s scraped onion websites. Around 37500 pictures are in this dataset to date.

Only one label-classification (DataTurks direct output) is provided along with the dataset. This classification is per part and will be improved and updated as soon as classification operations had been achieved.

Direct link : URL### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data

URL#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset