Riferimenti:
2011.main.DE
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2011.main.DE')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 120 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2011.main.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2011.main.EN')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 120 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2011.main.ES
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2011.main.ES')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 120 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2011.main.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2011.main.IT')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 120 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2011.main.RO
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2011.main.RO')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 120 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.AR
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.AR')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.BG
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.BG')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.DE
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.DE')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.EN')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.ES
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.ES')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.IT')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.main.RO
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.main.RO')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 160 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2012.alzheimers.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2012.alzheimers.EN')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 40 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.main.AR
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.main.AR')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 284 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.main.BG
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.main.BG')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 284 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.main.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.main.EN')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 284 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.main.ES
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.main.ES')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 284 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.main.RO
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.main.RO')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 284 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.alzheimers.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.alzheimers.EN')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 40 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
2013.entrance_exam.IT
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:qa4mre/2013.entrance_exam.EN')
- Descrizione :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in
question answering and reading comprehension. The dataset contains a supporting
passage and a set of questions corresponding to the passage. Multiple options
for answers are provided for each question, of which only one is correct. The
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on
alzheimers data, and the other on entrance exams data.
- Licenza : nessuna licenza conosciuta
- Versione : 0.1.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 46 |
- Caratteristiche :
{
"topic_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"test_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_str": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_options": {
"feature": {
"answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correct_answer_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct_answer_str": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}