सन्दर्भ:
2011.मेन.डी.ई
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2011.main.DE')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 120 |
- विशेषताएँ :
{
"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.मेन.एन
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2011.main.EN')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 120 |
- विशेषताएँ :
{
"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.मेन.ईएस
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2011.main.ES')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 120 |
- विशेषताएँ :
{
"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.मेन.आईटी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2011.main.IT')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 120 |
- विशेषताएँ :
{
"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.मेन.आरओ
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2011.main.RO')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 120 |
- विशेषताएँ :
{
"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.मेन.एआर
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.AR')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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.मुख्य.बी.जी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.BG')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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.मेन.डी.ई
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.DE')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.EN')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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.मेन.ईएस
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.ES')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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.मेन.आईटी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.IT')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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.मेन.आरओ
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.main.RO')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 160 |
- विशेषताएँ :
{
"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.अल्जाइमर्स.एन
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2012.alzheimers.EN')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 40 |
- विशेषताएँ :
{
"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.मेन.एआर
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.main.AR')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 284 |
- विशेषताएँ :
{
"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.मुख्य.बी.जी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.main.BG')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 284 |
- विशेषताएँ :
{
"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
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.main.EN')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 284 |
- विशेषताएँ :
{
"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.मेन.ईएस
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.main.ES')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 284 |
- विशेषताएँ :
{
"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.मेन.आरओ
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.main.RO')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 284 |
- विशेषताएँ :
{
"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.अल्जाइमर्स.एन
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.alzheimers.EN')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 40 |
- विशेषताएँ :
{
"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
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:qa4mre/2013.entrance_exam.EN')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 0.1.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'train' | 46 |
- विशेषताएँ :
{
"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"
}
}