참고자료:
2011.main.DE
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2011.main.DE')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 120 |
- 특징 :
{
"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.EN
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2011.main.EN')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 120 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2011.main.ES')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 120 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2011.main.IT')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 120 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2011.main.RO')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 120 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.AR')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.BG')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.DE')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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.EN
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.EN')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.ES')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.IT')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.main.RO')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 160 |
- 특징 :
{
"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.EN
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2012.alzheimers.EN')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 40 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.main.AR')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 284 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.main.BG')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 284 |
- 특징 :
{
"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.EN
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.main.EN')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 284 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.main.ES')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 284 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.main.RO')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 284 |
- 특징 :
{
"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.EN
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.alzheimers.EN')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 40 |
- 특징 :
{
"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.EN
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:qa4mre/2013.entrance_exam.EN')
- 설명 :
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.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 46 |
- 특징 :
{
"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"
}
}