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Asahi Ushio commited on
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4454521
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2 Parent(s): 97ff0d776aa9f0

Merge branch 'main' of https://huggingface.co/datasets/cardiffnlp/relentless into main

Browse files
experiments/baseline_lm_lc.py CHANGED
@@ -38,9 +38,9 @@ for lm, ppl_class, batch, pretty_name in [
38
  ("facebook/opt-1.3b", LM, 1, "OPT\textsubscript{1.3B}"),
39
  ("facebook/opt-350m", LM, 128, "OPT\textsubscript{350M}"),
40
  ("facebook/opt-125m", LM, 256, "OPT\textsubscript{125M}"),
41
- # ("facebook/opt-iml-30b", LM, 1, "OPT-IML\textsubscript{30B}"),
42
  ("facebook/opt-iml-1.3b", LM, 1, "OPT-IML\textsubscript{1.3B}"),
43
- ("facebook/opt-iml-max-30b", LM, 1, "OPT-IML\textsubscript{MAX-30B}"),
44
  ("facebook/opt-iml-max-1.3b", LM, 1, "OPT-IML\textsubscript{MAX-1.3B}"),
45
  ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
46
  ]:
 
38
  ("facebook/opt-1.3b", LM, 1, "OPT\textsubscript{1.3B}"),
39
  ("facebook/opt-350m", LM, 128, "OPT\textsubscript{350M}"),
40
  ("facebook/opt-125m", LM, 256, "OPT\textsubscript{125M}"),
41
+ ("facebook/opt-iml-30b", LM, 1, "OPT-IML\textsubscript{30B}"),
42
  ("facebook/opt-iml-1.3b", LM, 1, "OPT-IML\textsubscript{1.3B}"),
43
+ # ("facebook/opt-iml-max-30b", LM, 1, "OPT-IML\textsubscript{MAX-30B}"),
44
  ("facebook/opt-iml-max-1.3b", LM, 1, "OPT-IML\textsubscript{MAX-1.3B}"),
45
  ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
46
  ]:
experiments/baseline_lm_qa_fewshot.py CHANGED
@@ -27,8 +27,8 @@ for shots in shots_num:
27
  full_result = []
28
  for lm, ppl_class, batch, pretty_name in [
29
  ("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),
30
- ("google/flan-t5-xxl", EncoderDecoderLM, 1, "Flan-T5\textsubscript{XXL}"),
31
- ("facebook/opt-13b", LM, 1, "OPT\textsubscript{13B}"),
32
  ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
33
  ]:
34
  scorer = None
 
27
  full_result = []
28
  for lm, ppl_class, batch, pretty_name in [
29
  ("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),
30
+ # ("google/flan-t5-xxl", EncoderDecoderLM, 1, "Flan-T5\textsubscript{XXL}"),
31
+ # ("facebook/opt-13b", LM, 1, "OPT\textsubscript{13B}"),
32
  ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
33
  ]:
34
  scorer = None
experiments/results/lm_lc/opt-iml-30b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 7.718404809501498, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 6.760402211114817, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 8.32510633147385, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 9.41378497968159, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 7.804860087576981, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 8.02828823865946, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 7.329614882299886, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 6.547794902811228, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 8.208388835725682, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 9.061823142488667, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 8.650922545720833, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 7.971471322893278, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 8.295598230372082, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 7.202961864324799, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 7.5003991256948765, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 7.161178343308828, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 7.2156304986994755, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 9.385641690144418, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 6.713333676364077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 7.547318331157487, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 6.645638890210015, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 7.370487492421408, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 8.217417674144286, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 7.845348338491534, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 6.832178715724934, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 7.399150414619892, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 8.17305261268909, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 8.20562401468049, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 9.832905006366074, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 7.504262706975857, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 8.197233509903173, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 8.77298499320941, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 7.7870927282659705, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 7.257419406655338, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 7.262727322815275, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 8.135009127846676, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 7.269372660355162, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 6.485581362107706, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 6.649834236589126, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 8.48414671231291, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 7.22074171902293, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 7.466155948484124, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 8.110831942526433, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 7.823580057741025, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 10.573312215349828, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 7.1096801189626335, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 7.33828069217075, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 7.540003633221731, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 7.134460351182807, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 8.167204985619609, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 7.899815909118424, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 9.912239565389614, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 8.760318791325744, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 7.3408320268056215, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 7.519277989995847, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 7.723529657864752, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 6.412882078503699, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 7.65368510110763, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 7.9088598204025695, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 8.533827420318886, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 8.697023101862982, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 8.033967446506212, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 8.668269381084789, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 7.788275464367078, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 8.257852533180245, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 7.122040354825626, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 7.4141480519979055, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 7.427787555642591, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 6.637559972677812, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 7.347741529189905, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 7.088586539664185, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 7.266598411111086, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 8.307861888441215, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 6.716845474423521, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 7.994037989239551, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 7.875607260549803, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 7.064010272596052, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 7.909218096150301, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 8.004489296184943, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 7.020485622873224, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 7.406805251274742, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 7.2731172360323155, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 7.404691746652022, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 8.257295374369622, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 7.257922077265217, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 7.814400774506632, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 7.574818476915412, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 7.560469146680199, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 8.63937178604523, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 8.639493314317967, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 6.193865727108785, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 6.189753653863989, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 7.873217322488528, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 7.363127366887808, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 6.453318273551321, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 8.382353091228785, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 7.382967571614946, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 7.692248304353786, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 7.53586651628731, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 8.157000179204385, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 7.155417474929212, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 8.518000540057677, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 6.86787245548288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 7.732972769890782, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 7.192607863401777, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 6.799408789643362, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 7.642554740562151, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 6.860363223542276, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-iml-30b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 9.072007009092404, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 9.088022522470084, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 9.182560957064931, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 8.968874161288861, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 9.18307326594944, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 8.451140680439394, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 7.614625315889437, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 10.343894639606281, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 10.658953485768988, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 9.038685614821478, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 7.796262239016874, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 7.883523827019094, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 8.86634086801583, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 8.6450669129167, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 9.008576781162606, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 8.309795324044142, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 9.165458819846398, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 9.968008146064848, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 8.553755368631307, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 9.9257808450904, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 8.633705112156248, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 8.542263064613293, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 10.649445670795403, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 7.817646965861895, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 8.946626647042144, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 9.064582529965698, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 8.115244078424498, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 8.624079061710772, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 8.241205197026419, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 8.30393103265049, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 7.3350717849610945, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 8.688246126120962, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 8.535992533807773, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 10.374305288489573, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 9.636688709050198, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 11.776330567045738, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 8.002293007323225, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 9.26563724630171, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 8.97497051903633, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 9.981309103129641, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 8.133779554119458, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 8.050944728017974, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 9.165574637008579, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 8.388808760506048, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 8.241008713725376, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 8.245049352494698, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 9.442852374951293, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 8.44888629805834, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 9.391392131502478, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 10.223601551729473, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 10.320403892878899, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 7.135977793740296, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 9.354267826523246, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 8.126869085909265, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 8.569889779871014, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 8.44408338777631, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 8.799786324480854, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 8.73634710790002, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 8.099193186182955, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 7.572747303981545, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 8.918867730863026, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 8.804831440422406, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 9.170827281142632, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 8.296980845073698, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 8.35705823700602, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 8.795272516493267, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 7.962820929432482, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 7.681417145265831, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 7.252387698512942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 7.8931173897326445, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 8.569983768549854, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 8.503463951630527, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 8.539318599114237, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 8.551200414408061, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 8.587749769804418, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 7.898559739258626, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 8.102986554573684, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 7.679587801962421, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 8.229426448705038, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 8.990859741652509, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 8.337026001468333, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 9.159134803223774, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 8.412340265474667, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 9.501843425625871, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 7.664833498975613, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 9.242847524504874, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 8.945257338868903, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 8.691469883602654, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 8.242050128603125, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 8.306445773878488, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 7.943998853174683, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 9.253731225611615, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 9.019156667787447, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}