Datasets:
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README.md
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@@ -61,39 +61,41 @@ For more information see: [ArXiv](http://arxiv.org/abs/1111.11111)
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#### Option 2: ElasticSearch
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IP address, username and password for the es server and [Kibana](http://34.0.64.248:5601/)
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```python
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```
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```python
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```
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```python
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```
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#### Option 3: Directly from files
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```python
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```
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## Subsets
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#### Option 2: ElasticSearch
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IP address, username and password for the es server and [Kibana](http://34.0.64.248:5601/):
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```python
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elastic_ip = '34.0.64.248:9200'
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kibana_ip = '34.0.64.248:5601'
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```
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```python
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es_username = 'user'
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es_password = 'knesset'
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```
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Query dataset:
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```python
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from elasticsearch import Elasticsearch
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es = Elasticsearch(f'http://{elastic_ip}',http_auth=(es_username, es_password), timeout=100)
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resp = es.search(index="all_features_sentences", body={"query":{"match_all": {}}})
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print("Got %d Hits:" % resp['hits']['total']['value'])
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for hit in resp['hits']['hits']:
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print("id: %(sentence_id)s: speaker_name: %(speaker_name)s: sentence_text: %(sentence_text)s" % hit["_source"])
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```
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#### Option 3: Directly from files
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```python
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import json
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path = <path to committee_full_sentences.jsonl> #or any other sentences jsonl file
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with open(path, encoding="utf-8") as file:
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for line in file:
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try:
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sent = json.loads(line)
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except Exception as e:
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print(f'couldnt load json line. error:{e}.')
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sent_id = sent["sentence_id"]
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sent_text = sent["sentence_text"]
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speaker_name = sent["speaker_name"]
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print(f"ID: {sent_id}, speaker name: {speaker_name}, text: {sent_text")
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```
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## Subsets
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