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{% if country == 'United Kingdom' %} | |
<div class="borderhash"><a target="_blank" href="http://www.linkedin.com/vsearch/p?firstName={{first_name}}&lastName={{last_name}}&postalCode={{zip}}&openAdvancedForm=true&companyScope=CP&locationType=I&countryCode=gb&distance=100">2.Search UK's LinkedIn for {{first_name}} {{last_name}} 100 miles from their zip code</a></div><br /> | |
{% elsif country == 'Australia' %} | |
<div class="borderhash"><a target="_blank" href="http://www.linkedin.com/vsearch/p?firstName={{first_name}}&lastName={{last_name}}&postalCode={{zip}}&openAdvancedForm=true&companyScope=CP&locationType=I&countryCode=au&distance=100">2.Search Australia's LinkedIn for {{first_name}} {{last_name}} 100 miles from their zip code</a></div><br /> | |
{% else %} | |
<div class="borderhash"><a target="_blank" href="http://www.linkedin.com/vsearch/p?firstName={{first_name}}&lastName={{last_name}}&p |
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I added an "aggregation=avg" to the cml:checkboxes element. I copied the job and ran it on the internal channel and submitted my judgments. The results came out in the hidden field "results_percentage", so at least that part works. | |
As for making test questions, I don't know how to do that, because as they said in their email, the choices are created dynamically in javascript. If he wants to completely re-do the way he's built the job, here's one idea I can think of. | |
For each unit in their csv, create new columns titled | |
"category_1_name" | |
"category_2_name" | |
"category_3_name" | |
"category_4_name" | |
Then split out the contents of the column "categories" into those columns. In the cml he would do | |
<cml:checkboxes label="" validates="required" instructions="" name="" class="" gold="true" aggregation="agg"> |
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<cml:group name='my_task' label='' only-if='skip:unchecked'> | |
YOUR TASK CML | |
</cml:group> | |
<cml:checkbox label="I didn't find any information" name='skip'></cml:checkbox> |
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{% if column_1 != 'No data available' %} | |
{{master_column}} | |
{% elsif column_2 != 'No data available' %} | |
{{master_column}} {{column_1}} | |
{% elsif column_3 != 'No data available' %} | |
{{master_column}} {{column_1}} {{column_2}} | |
{% elsif column_4 != 'No data available' %} | |
{{master_column}} {{column_1}} {{column_2}} {{column_3}} | |
{% elsif column_5 != 'No data available' %} | |
{{master_column}} {{column_1}} {{column_2}} {{column_3}} {{column_4}} |
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Ingredients: 3 lbs of boneless pork spare ribs, 1 package bacon, 1 white onion, 1/2 bottle of BBQ sauce of your choice | |
Dry rub ingredients: 4 tbsp smoked paprika, 2 tbsp sea salt, 2 tbsp chili powder, 2 tbsp ground cumin, 1 tbsp ground black pepper, 1 tbsp dried oregano, 1 tbsp ground white pepper, 2 tsp cayenne pepper, | |
I used a little over 3.3 lbs of pork shoulder to make this, you could also use spare ribs or something similar. | |
Cut the meat into medium-sized meatlets | |
Take the dry rub ingredients and mix them together in a bowl and use this to liberally coat each of the pieces of meat. Once that is done, wrapp them tightly in plastic wrap and leave them in the fridge overnight. |
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There's a script you can run that divides an audio clip into small segments. | |
The following code splits an mpeg into optionally overlapping snippets of audio for transcription or whatever... | |
#NOTE! you must install ffmpeg in your system first (http://ffmpeg.org/download.html): $brew install FFmpeg | |
overlap = XX #overlap between snippets in seconds | |
total_length = XX #total length of file in seconds | |
step_size = XX #length of snippets in seconds | |
file_path = "" #path to audio file |
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curl https://api.crowdflower.com/v1/jobs/425038/units/448518368.json?key=KEY | |
{"agreement":1.0,"missed_count":0,"results":{"item_price":{"agg":null,"confidence":0},"price":{"agg":"","confidence":1.0},"discount":{"agg":"","confidence":1.0},"include_yn":{"agg":"","confidence":1.0},"judgments":[{"reviewed":null,"worker_id":26078288,"unit_state":"finalized","golden":false,"started_at":"2014-04-17T20:28:13+00:00","created_at":"2014-04-17T20:29:32+00:00","data":{"item_price":"$7.49","item_quantity":"1"},"job_id":425038,"tainted":false,"rejected":null,"judgment":1,"unit_data":{"unit_type":"item_unit","filename":"http://karasic.com/crowdflower/Costco-001.jpg","upc":"805573"},"worker_trust":1.0,"unit_id":448518368,"region":"MA","external_type":"cf_internal","country":"USA","webhook_sent_at":null,"id":1245319265,"trust":1.0,"city":"Lexington","missed":null}],"discount_price":{"agg":"","confidence":1.0},"quantity":{"agg":"","confidence":1.0},"item_quantity":{"agg":null,"confidence":0},"not_readable":{"agg":"","confidence |
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when I use the /jobs/{job_id}/units/{unit_id} endpoint to create or update a unit to add gold, I am having trouble specifying more than one answer 2:09 | |
the whole array ends up quoted | |
or should I just repeat unit[data][field_golden]=x&unit[data][field_golden]=y to give both answers? | |
I have been doing unit[data][field_golden]=[x,y] 2:10 | |
Wil Stevens sure - I know we separate them by a newline character 2:11 | |
which is often /n | |
Christopher Hundt you mean unit[data][field_golden]=[x\ny] ? | |
or rather unit[data][field_golden]=x\ny? | |
Wil Stevens the latter 2:13 | |
Christopher Hundt that did not seem to work 2:15 |
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I'm using curl on PHP the request parameters are these: | |
$defaults = array( | |
CURLOPT_CUSTOMREQUEST => "PUT", | |
CURLOPT_RETURNTRANSFER => true, | |
CURLOPT_POST => count($data), | |
CURLOPT_POSTFIELDS=> json_encode($data, JSON_FORCE_OBJECT), | |
CURLOPT_HEADER => 0, | |
CURLOPT_URL => $this->url.$uri.'.json?key='.$this->key, | |
CURLOPT_FRESH_CONNECT => 1, |
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<cml:group only-if="able_to_classify:[Yes]"> | |
<cml:select label="Please choose the best classification for the company from the following choices:" id="drop" name="drop"> | |
<cml:option label="Please select one of the following choices..." /> | |
<cml:option label="*****MOST COMMON CLASSIFICATIONS*****" /> | |
<cml:option label="Investment Advisor" /> | |
<cml:option label="Corporation" /> | |
<cml:option label="Hedge Fund Manager" /> | |
<cml:option label="Bank" /> | |
<cml:option label="Government" /> |
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