Spaces:
Sleeping
Sleeping
File size: 4,715 Bytes
22be37d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 |
# NOTE: The _format variables may be useful for testing the beta of Cohere's structured output endpoints.
cv_format = {
"type": "object",
"required": [
"name",
"roles",
"projects",
"languages",
"packages",
"tools",
"qualifications",
"responsibilities",
],
"properties": {
"name": {"type": "string"},
"roles": {"type": "list"},
"projects": {"type": "list"},
"languages": {"type": "list"},
"packages": {"type": "list"},
"tools": {"type": "list"},
"qualifications": {"type": "list"},
"responsibilities": {"type": "list"},
},
}
cv_extract_prompt = """
You are an expert at extracting information from CVs
**Goal**
For a given CV, you must extract structured information and present it to the user in json form
**Input**
<input-cv>
**Output Format**
You will respond with a json object, in the form given.
You will ensure that you are concise.
{
"name": ,
"roles": [],
"projects": [],
"languages": [],
"packages": [],
"tools": [],
"qualifications": [] ,
"responsibilities": [],
}
**Guidance**
- languages: programming languages mentioned in the CV. Each should be tagged with a number between 1 and 5. 5 suggests they must be fully fluent, 1 suggests they may have some experience. If the CV does not indicate the level of required experience, approximate it, and if no information at all is given put 3
- packages: specific packages mentioned in the CV. Each package should be tagged with a number between 1 and 5, 5 suggesting fully fluent and 1 suggesting just tried it once. Use your best judgement to gauge the individual's level of understanding.
- tools: a list of other tools the individual has experience with
- qualifications: of form [{"type": , "grade": ,"location": }] where type is the qualification type identified. Available Education Levels are: bsc,msc,phd. grade should be the grade achieved (number between 0 and 100. Make relevant conversions, if no number is given, assume 60). location is the location of where the education was taken.
- responsibilities: an extensive list of the responsibilities demonstrated in the CV.
You will now respond clearly, only responding with the desired json output.
"""
job_posting_format = {
"type": "object",
"required": [
"companyName",
"roleShortDesc",
"roleLongDesc",
"requiredExperience",
"languages",
"packages",
"tools",
"qualifications",
"responsibilities",
],
"properties": {
"name": {"type": "string"},
"roleShortDesc": {"type": "string"},
"roleLongDesc": {"type": "string"},
"requiredExperience": {"type": "list"},
"languages": {"type": "list"},
"packages": {"type": "list"},
"tools": {"type": "list"},
"qualifications": {"type": "list"},
"responsibilities": {"type": "list"},
},
}
job_posting_extract_prompt = """
You are an expert at extracting information from job postings
**Goal**
For a given job posting, you must extract structured information and present it to the user
**Input**
<job-posting>
**Output Format**
You will respond with a json object, in the form given.
You will ensure that you are concise.
{
"companyName": ,
"roleShortDesc": ,
"roleLongDesc": ,
"requiredExperience": [],
"languages": [],
"packages": [],
"tools": [],
"qualifications": [] ,
"responsibilities": [],
}
**Guidance**
- roleShortDesc should be one sentence only
- requiredExperience: a standaredized list of items, each item should be at most one short sentence
- languages: programming languages mentioned in the post. Each should be tagged with a number between 1 and 5. 5 suggests they must be fully fluent, 1 suggests they may have some experience. If the job does not indicate the level of required experience, put 3
- packages: specific packages mentioned in the post. Each package should be tagged with a number between 1 and 5, 5 suggesting fully fluent and 1 suggesting just tried it once. If no level is given, assume level 3
- tools: a list of other tools that would be useful to know
- qualifications: of form [{"type": , "strictness": }] where type is the qualification type identified, and strictness is your approximation of how strict the job posting suggests the requirement is. 1 being not strict at all, 5 being absolute necessity. Available Education Levels are: bsc,msc,phd.
- responsibilities: an extensive list of the responsibilities given in the advert.
You will now respond clearly, only responding with the desired json output.
"""
|