provider stringclasses 4
values | type stringclasses 2
values | model stringclasses 5
values | text stringlengths 6 1.13k | status stringclasses 2
values | ts int64 1,743B 1,743B | dims int32 0 3.07k ⌀ | millis int32 49 32k ⌀ | tokens int32 2 967 ⌀ |
|---|---|---|---|---|---|---|---|---|
openai | query | text-embedding-3-small | what does arbitration agreement means | ok | 1,742,587,724,972 | 1,536 | 298 | 5 |
openai | query | text-embedding-3-large | what does arbitration agreement means | ok | 1,742,587,725,917 | 3,072 | 242 | 5 |
cohere | query | embed-english-v3.0 | what does arbitration agreement means | ok | 1,742,587,726,732 | 1,024 | 58 | 5 |
jina | query | jina-embeddings-v3 | what does arbitration agreement means | ok | 1,742,587,727,972 | 1,024 | 298 | 8 |
google | query | text-embedding-005 | what does arbitration agreement means | error | 1,742,587,728,706 | null | null | null |
openai | doc | text-embedding-3-small | 1 Download the ZIP file by clicking the Download button and saving the file to your hard disk. 2 Remove any previous versions of the symbol set so you can avoid duplicate and deprecated symbols. Extract the contents of the ZIP file to a separate directory. | ok | 1,742,587,730,025 | 1,536 | 351 | 52 |
openai | doc | text-embedding-3-large | 1 Download the ZIP file by clicking the Download button and saving the file to your hard disk. 2 Remove any previous versions of the symbol set so you can avoid duplicate and deprecated symbols. Extract the contents of the ZIP file to a separate directory. | ok | 1,742,587,731,146 | 3,072 | 471 | 52 |
cohere | doc | embed-english-v3.0 | 1 Download the ZIP file by clicking the Download button and saving the file to your hard disk. 2 Remove any previous versions of the symbol set so you can avoid duplicate and deprecated symbols. Extract the contents of the ZIP file to a separate directory. | ok | 1,742,587,731,733 | 1,024 | 59 | 51 |
jina | doc | jina-embeddings-v3 | 1 Download the ZIP file by clicking the Download button and saving the file to your hard disk. 2 Remove any previous versions of the symbol set so you can avoid duplicate and deprecated symbols. Extract the contents of the ZIP file to a separate directory. | ok | 1,742,587,733,036 | 1,024 | 362 | 64 |
google | doc | text-embedding-005 | 1 Download the ZIP file by clicking the Download button and saving the file to your hard disk. 2 Remove any previous versions of the symbol set so you can avoid duplicate and deprecated symbols. Extract the contents of the ZIP file to a separate directory. | error | 1,742,587,733,699 | null | null | null |
openai | query | text-embedding-3-small | when is sofia carson's birthday | ok | 1,742,587,734,900 | 1,536 | 225 | 8 |
openai | query | text-embedding-3-large | when is sofia carson's birthday | ok | 1,742,587,736,124 | 3,072 | 450 | 8 |
cohere | query | embed-english-v3.0 | when is sofia carson's birthday | ok | 1,742,587,736,730 | 1,024 | 56 | 7 |
jina | query | jina-embeddings-v3 | when is sofia carson's birthday | ok | 1,742,587,738,038 | 1,024 | 364 | 11 |
google | query | text-embedding-005 | when is sofia carson's birthday | error | 1,742,587,738,702 | null | null | null |
openai | doc | text-embedding-3-small | Choosing not to recast the Kate Bradley role, or to sign Rosemary DeCamp on full-time (she was also playing the mother of Marlo Thomas on That Girl), the producers introduced the new character of Dr. Janet Craig, played by June Lockhart. | ok | 1,742,587,739,936 | 1,536 | 262 | 53 |
openai | doc | text-embedding-3-large | Choosing not to recast the Kate Bradley role, or to sign Rosemary DeCamp on full-time (she was also playing the mother of Marlo Thomas on That Girl), the producers introduced the new character of Dr. Janet Craig, played by June Lockhart. | ok | 1,742,587,741,035 | 3,072 | 361 | 53 |
cohere | doc | embed-english-v3.0 | Choosing not to recast the Kate Bradley role, or to sign Rosemary DeCamp on full-time (she was also playing the mother of Marlo Thomas on That Girl), the producers introduced the new character of Dr. Janet Craig, played by June Lockhart. | ok | 1,742,587,741,734 | 1,024 | 60 | 54 |
jina | doc | jina-embeddings-v3 | Choosing not to recast the Kate Bradley role, or to sign Rosemary DeCamp on full-time (she was also playing the mother of Marlo Thomas on That Girl), the producers introduced the new character of Dr. Janet Craig, played by June Lockhart. | ok | 1,742,587,743,039 | 1,024 | 365 | 63 |
google | doc | text-embedding-005 | Choosing not to recast the Kate Bradley role, or to sign Rosemary DeCamp on full-time (she was also playing the mother of Marlo Thomas on That Girl), the producers introduced the new character of Dr. Janet Craig, played by June Lockhart. | error | 1,742,587,743,702 | null | null | null |
openai | query | text-embedding-3-small | the effects of opiates on our body | ok | 1,742,587,744,914 | 1,536 | 239 | 8 |
openai | query | text-embedding-3-large | the effects of opiates on our body | ok | 1,742,587,746,049 | 3,072 | 374 | 8 |
cohere | query | embed-english-v3.0 | the effects of opiates on our body | ok | 1,742,587,746,734 | 1,024 | 60 | 9 |
jina | query | jina-embeddings-v3 | the effects of opiates on our body | ok | 1,742,587,748,343 | 1,024 | 669 | 11 |
google | query | text-embedding-005 | the effects of opiates on our body | error | 1,742,587,748,698 | null | null | null |
openai | doc | text-embedding-3-small | Through the 2011 season, the Cardinals have played in 18 World Series and won 11 of them in the following years: 2011, 2006, 1982, 1967, 1964, 1946, 1944, 1942, 1934, 1931, an ⦠d 1926. | ok | 1,742,587,750,258 | 1,536 | 584 | 76 |
openai | doc | text-embedding-3-large | Through the 2011 season, the Cardinals have played in 18 World Series and won 11 of them in the following years: 2011, 2006, 1982, 1967, 1964, 1946, 1944, 1942, 1934, 1931, an ⦠d 1926. | ok | 1,742,587,750,896 | 3,072 | 222 | 76 |
cohere | doc | embed-english-v3.0 | Through the 2011 season, the Cardinals have played in 18 World Series and won 11 of them in the following years: 2011, 2006, 1982, 1967, 1964, 1946, 1944, 1942, 1934, 1931, an ⦠d 1926. | ok | 1,742,587,751,734 | 1,024 | 60 | 49 |
jina | doc | jina-embeddings-v3 | Through the 2011 season, the Cardinals have played in 18 World Series and won 11 of them in the following years: 2011, 2006, 1982, 1967, 1964, 1946, 1944, 1942, 1934, 1931, an ⦠d 1926. | ok | 1,742,587,752,993 | 1,024 | 319 | 51 |
google | doc | text-embedding-005 | Through the 2011 season, the Cardinals have played in 18 World Series and won 11 of them in the following years: 2011, 2006, 1982, 1967, 1964, 1946, 1944, 1942, 1934, 1931, an ⦠d 1926. | error | 1,742,587,753,701 | null | null | null |
openai | query | text-embedding-3-small | what does one basis point equal | ok | 1,742,587,754,902 | 1,536 | 227 | 6 |
openai | query | text-embedding-3-large | what does one basis point equal | ok | 1,742,587,756,096 | 3,072 | 422 | 6 |
cohere | query | embed-english-v3.0 | what does one basis point equal | ok | 1,742,587,756,727 | 1,024 | 53 | 6 |
jina | query | jina-embeddings-v3 | what does one basis point equal | ok | 1,742,587,758,192 | 1,024 | 518 | 8 |
google | query | text-embedding-005 | what does one basis point equal | error | 1,742,587,758,705 | null | null | null |
openai | doc | text-embedding-3-small | as chalabi points out women are less likely to try masturbating however there is still a large gender gap when it comes to routine masturbation only 7 9 percent of women between the ages of 25 and 29 masturbate two to three times a week whereas 23 4 percent of men do | ok | 1,742,587,759,917 | 1,536 | 243 | 61 |
openai | doc | text-embedding-3-large | as chalabi points out women are less likely to try masturbating however there is still a large gender gap when it comes to routine masturbation only 7 9 percent of women between the ages of 25 and 29 masturbate two to three times a week whereas 23 4 percent of men do | ok | 1,742,587,760,829 | 3,072 | 155 | 61 |
cohere | doc | embed-english-v3.0 | as chalabi points out women are less likely to try masturbating however there is still a large gender gap when it comes to routine masturbation only 7 9 percent of women between the ages of 25 and 29 masturbate two to three times a week whereas 23 4 percent of men do | ok | 1,742,587,761,732 | 1,024 | 58 | 61 |
jina | doc | jina-embeddings-v3 | as chalabi points out women are less likely to try masturbating however there is still a large gender gap when it comes to routine masturbation only 7 9 percent of women between the ages of 25 and 29 masturbate two to three times a week whereas 23 4 percent of men do | ok | 1,742,587,770,769 | 1,024 | 8,094 | 60 |
google | doc | text-embedding-005 | as chalabi points out women are less likely to try masturbating however there is still a large gender gap when it comes to routine masturbation only 7 9 percent of women between the ages of 25 and 29 masturbate two to three times a week whereas 23 4 percent of men do | error | 1,742,587,770,802 | null | null | null |
openai | query | text-embedding-3-small | what is a zebra mussel | ok | 1,742,587,773,594 | 1,536 | 1,919 | 7 |
openai | query | text-embedding-3-large | what is a zebra mussel | ok | 1,742,587,773,902 | 3,072 | 308 | 7 |
cohere | query | embed-english-v3.0 | what is a zebra mussel | ok | 1,742,587,773,968 | 1,024 | 66 | 6 |
jina | query | jina-embeddings-v3 | what is a zebra mussel | ok | 1,742,587,775,039 | 1,024 | 364 | 8 |
google | query | text-embedding-005 | what is a zebra mussel | error | 1,742,587,775,702 | null | null | null |
openai | doc | text-embedding-3-small | (Point to head.)And right on top was a funny, old hat. (Chorus)She had two hairs in her head. (Hold up two fingers.)One was alive and the other was dead. (Chorus)She had two eyes in her head. (Point to eyes.)One was purple and the other was red. (Chorus)She had two teeth in her mouth. | ok | 1,742,587,776,985 | 1,536 | 311 | 80 |
openai | doc | text-embedding-3-large | (Point to head.)And right on top was a funny, old hat. (Chorus)She had two hairs in her head. (Hold up two fingers.)One was alive and the other was dead. (Chorus)She had two eyes in her head. (Point to eyes.)One was purple and the other was red. (Chorus)She had two teeth in her mouth. | ok | 1,742,587,778,029 | 3,072 | 355 | 80 |
cohere | doc | embed-english-v3.0 | (Point to head.)And right on top was a funny, old hat. (Chorus)She had two hairs in her head. (Hold up two fingers.)One was alive and the other was dead. (Chorus)She had two eyes in her head. (Point to eyes.)One was purple and the other was red. (Chorus)She had two teeth in her mouth. | ok | 1,742,587,778,733 | 1,024 | 59 | 81 |
jina | doc | jina-embeddings-v3 | (Point to head.)And right on top was a funny, old hat. (Chorus)She had two hairs in her head. (Hold up two fingers.)One was alive and the other was dead. (Chorus)She had two eyes in her head. (Point to eyes.)One was purple and the other was red. (Chorus)She had two teeth in her mouth. | ok | 1,742,587,779,977 | 1,024 | 303 | 92 |
google | doc | text-embedding-005 | (Point to head.)And right on top was a funny, old hat. (Chorus)She had two hairs in her head. (Hold up two fingers.)One was alive and the other was dead. (Chorus)She had two eyes in her head. (Point to eyes.)One was purple and the other was red. (Chorus)She had two teeth in her mouth. | error | 1,742,587,780,698 | null | null | null |
openai | query | text-embedding-3-small | when did oliver north testify | ok | 1,742,587,781,903 | 1,536 | 228 | 6 |
openai | query | text-embedding-3-large | when did oliver north testify | ok | 1,742,587,784,781 | 3,072 | 2,106 | 6 |
cohere | query | embed-english-v3.0 | when did oliver north testify | ok | 1,742,587,784,842 | 1,024 | 61 | 5 |
jina | query | jina-embeddings-v3 | when did oliver north testify | ok | 1,742,587,786,148 | 1,024 | 474 | 9 |
google | query | text-embedding-005 | when did oliver north testify | error | 1,742,587,786,703 | null | null | null |
openai | doc | text-embedding-3-small | Definition of parse for English Language Learners. 1 grammar : to divide (a sentence) into grammatical parts and identify the parts and their relations to each other. : 2 to study (something) by looking at its parts closely. | ok | 1,742,587,788,015 | 1,536 | 341 | 51 |
openai | doc | text-embedding-3-large | Definition of parse for English Language Learners. 1 grammar : to divide (a sentence) into grammatical parts and identify the parts and their relations to each other. : 2 to study (something) by looking at its parts closely. | ok | 1,742,587,788,970 | 3,072 | 296 | 51 |
cohere | doc | embed-english-v3.0 | Definition of parse for English Language Learners. 1 grammar : to divide (a sentence) into grammatical parts and identify the parts and their relations to each other. : 2 to study (something) by looking at its parts closely. | ok | 1,742,587,789,733 | 1,024 | 59 | 46 |
jina | doc | jina-embeddings-v3 | Definition of parse for English Language Learners. 1 grammar : to divide (a sentence) into grammatical parts and identify the parts and their relations to each other. : 2 to study (something) by looking at its parts closely. | ok | 1,742,587,790,971 | 1,024 | 297 | 54 |
google | doc | text-embedding-005 | Definition of parse for English Language Learners. 1 grammar : to divide (a sentence) into grammatical parts and identify the parts and their relations to each other. : 2 to study (something) by looking at its parts closely. | error | 1,742,587,791,698 | null | null | null |
openai | query | text-embedding-3-small | temperature to heat to for saki | ok | 1,742,587,792,999 | 1,536 | 325 | 7 |
openai | query | text-embedding-3-large | temperature to heat to for saki | ok | 1,742,587,793,881 | 3,072 | 207 | 7 |
cohere | query | embed-english-v3.0 | temperature to heat to for saki | ok | 1,742,587,794,727 | 1,024 | 53 | 7 |
jina | query | jina-embeddings-v3 | temperature to heat to for saki | ok | 1,742,587,797,224 | 1,024 | 1,550 | 9 |
google | query | text-embedding-005 | temperature to heat to for saki | error | 1,742,587,797,259 | null | null | null |
openai | doc | text-embedding-3-small | Czech Genetics: Abstracts and Summaries. The Czech Republic - consisting of the regions of Bohemia, Moravia, and Czech Silesia - borders Germany, Austria, Poland, and Slovakia in the center of Europe. It's also known as Czechia. The Czech language is related to the Slovak language; both are members of the West Slavic l... | ok | 1,742,587,798,097 | 1,536 | 423 | 75 |
openai | doc | text-embedding-3-large | Czech Genetics: Abstracts and Summaries. The Czech Republic - consisting of the regions of Bohemia, Moravia, and Czech Silesia - borders Germany, Austria, Poland, and Slovakia in the center of Europe. It's also known as Czechia. The Czech language is related to the Slovak language; both are members of the West Slavic l... | ok | 1,742,587,798,971 | 3,072 | 297 | 75 |
cohere | doc | embed-english-v3.0 | Czech Genetics: Abstracts and Summaries. The Czech Republic - consisting of the regions of Bohemia, Moravia, and Czech Silesia - borders Germany, Austria, Poland, and Slovakia in the center of Europe. It's also known as Czechia. The Czech language is related to the Slovak language; both are members of the West Slavic l... | ok | 1,742,587,799,729 | 1,024 | 55 | 71 |
jina | doc | jina-embeddings-v3 | Czech Genetics: Abstracts and Summaries. The Czech Republic - consisting of the regions of Bohemia, Moravia, and Czech Silesia - borders Germany, Austria, Poland, and Slovakia in the center of Europe. It's also known as Czechia. The Czech language is related to the Slovak language; both are members of the West Slavic l... | ok | 1,742,587,801,007 | 1,024 | 333 | 79 |
google | doc | text-embedding-005 | Czech Genetics: Abstracts and Summaries. The Czech Republic - consisting of the regions of Bohemia, Moravia, and Czech Silesia - borders Germany, Austria, Poland, and Slovakia in the center of Europe. It's also known as Czechia. The Czech language is related to the Slovak language; both are members of the West Slavic l... | error | 1,742,587,801,698 | null | null | null |
openai | query | text-embedding-3-small | what are magin accounts | ok | 1,742,587,802,825 | 1,536 | 150 | 5 |
openai | query | text-embedding-3-large | what are magin accounts | ok | 1,742,587,804,214 | 3,072 | 540 | 5 |
cohere | query | embed-english-v3.0 | what are magin accounts | ok | 1,742,587,804,735 | 1,024 | 60 | 5 |
jina | query | jina-embeddings-v3 | what are magin accounts | ok | 1,742,587,806,053 | 1,024 | 379 | 8 |
google | query | text-embedding-005 | what are magin accounts | error | 1,742,587,806,698 | null | null | null |
openai | doc | text-embedding-3-small | Wikipedia Definition of Shamanism: There is no single agreed upon definition for the word âshamanismâ among anthropologists. The English historian Ronald Hutton noted that by the dawn of the 21st century, there were four separate definitions of the term which appeared to be in use. | ok | 1,742,587,808,031 | 1,536 | 357 | 63 |
openai | doc | text-embedding-3-large | Wikipedia Definition of Shamanism: There is no single agreed upon definition for the word âshamanismâ among anthropologists. The English historian Ronald Hutton noted that by the dawn of the 21st century, there were four separate definitions of the term which appeared to be in use. | ok | 1,742,587,808,828 | 3,072 | 154 | 63 |
cohere | doc | embed-english-v3.0 | Wikipedia Definition of Shamanism: There is no single agreed upon definition for the word âshamanismâ among anthropologists. The English historian Ronald Hutton noted that by the dawn of the 21st century, there were four separate definitions of the term which appeared to be in use. | ok | 1,742,587,809,739 | 1,024 | 65 | 53 |
jina | doc | jina-embeddings-v3 | Wikipedia Definition of Shamanism: There is no single agreed upon definition for the word âshamanismâ among anthropologists. The English historian Ronald Hutton noted that by the dawn of the 21st century, there were four separate definitions of the term which appeared to be in use. | ok | 1,742,587,811,254 | 1,024 | 580 | 71 |
google | doc | text-embedding-005 | Wikipedia Definition of Shamanism: There is no single agreed upon definition for the word âshamanismâ among anthropologists. The English historian Ronald Hutton noted that by the dawn of the 21st century, there were four separate definitions of the term which appeared to be in use. | error | 1,742,587,811,698 | null | null | null |
openai | query | text-embedding-3-small | cost of the basement, framing, electrical, and plumbing | ok | 1,742,587,813,261 | 1,536 | 586 | 11 |
openai | query | text-embedding-3-large | cost of the basement, framing, electrical, and plumbing | ok | 1,742,587,813,933 | 3,072 | 259 | 11 |
cohere | query | embed-english-v3.0 | cost of the basement, framing, electrical, and plumbing | ok | 1,742,587,814,731 | 1,024 | 57 | 11 |
jina | query | jina-embeddings-v3 | cost of the basement, framing, electrical, and plumbing | ok | 1,742,587,816,063 | 1,024 | 389 | 17 |
google | query | text-embedding-005 | cost of the basement, framing, electrical, and plumbing | error | 1,742,587,816,708 | null | null | null |
openai | doc | text-embedding-3-small | In psychology, the 'Big Five' is a term used to describe the five broad traits of human personality. Each of the traits, or factors, identified as the Big Five are independent of each other and account for the infinite number of unique aspects that comprise human personality. | ok | 1,742,587,817,871 | 1,536 | 197 | 54 |
openai | doc | text-embedding-3-large | In psychology, the 'Big Five' is a term used to describe the five broad traits of human personality. Each of the traits, or factors, identified as the Big Five are independent of each other and account for the infinite number of unique aspects that comprise human personality. | ok | 1,742,587,819,084 | 3,072 | 410 | 54 |
cohere | doc | embed-english-v3.0 | In psychology, the 'Big Five' is a term used to describe the five broad traits of human personality. Each of the traits, or factors, identified as the Big Five are independent of each other and account for the infinite number of unique aspects that comprise human personality. | ok | 1,742,587,819,733 | 1,024 | 59 | 54 |
jina | doc | jina-embeddings-v3 | In psychology, the 'Big Five' is a term used to describe the five broad traits of human personality. Each of the traits, or factors, identified as the Big Five are independent of each other and account for the infinite number of unique aspects that comprise human personality. | ok | 1,742,587,821,617 | 1,024 | 943 | 63 |
google | doc | text-embedding-005 | In psychology, the 'Big Five' is a term used to describe the five broad traits of human personality. Each of the traits, or factors, identified as the Big Five are independent of each other and account for the infinite number of unique aspects that comprise human personality. | error | 1,742,587,821,699 | null | null | null |
openai | query | text-embedding-3-small | what nine tales name naruto | ok | 1,742,587,822,897 | 1,536 | 222 | 6 |
openai | query | text-embedding-3-large | what nine tales name naruto | ok | 1,742,587,824,335 | 3,072 | 661 | 6 |
cohere | query | embed-english-v3.0 | what nine tales name naruto | ok | 1,742,587,824,735 | 1,024 | 61 | 7 |
jina | query | jina-embeddings-v3 | what nine tales name naruto | ok | 1,742,587,825,984 | 1,024 | 310 | 9 |
google | query | text-embedding-005 | what nine tales name naruto | error | 1,742,587,826,702 | null | null | null |
openai | doc | text-embedding-3-small | Femoral Artery. The femoral artery is the main artery that provides oxygenated blood to the tissues of the leg. It passes through the deep tissues of the femoral (or thigh) region of the leg parallel to the femur. The common femoral artery is the largest artery found in the femoral region of the body. It begins as a co... | ok | 1,742,587,828,163 | 1,536 | 489 | 101 |
openai | doc | text-embedding-3-large | Femoral Artery. The femoral artery is the main artery that provides oxygenated blood to the tissues of the leg. It passes through the deep tissues of the femoral (or thigh) region of the leg parallel to the femur. The common femoral artery is the largest artery found in the femoral region of the body. It begins as a co... | ok | 1,742,587,828,934 | 3,072 | 260 | 101 |
cohere | doc | embed-english-v3.0 | Femoral Artery. The femoral artery is the main artery that provides oxygenated blood to the tissues of the leg. It passes through the deep tissues of the femoral (or thigh) region of the leg parallel to the femur. The common femoral artery is the largest artery found in the femoral region of the body. It begins as a co... | ok | 1,742,587,829,770 | 1,024 | 96 | 98 |
jina | doc | jina-embeddings-v3 | Femoral Artery. The femoral artery is the main artery that provides oxygenated blood to the tissues of the leg. It passes through the deep tissues of the femoral (or thigh) region of the leg parallel to the femur. The common femoral artery is the largest artery found in the femoral region of the body. It begins as a co... | ok | 1,742,587,830,963 | 1,024 | 289 | 115 |
google | doc | text-embedding-005 | Femoral Artery. The femoral artery is the main artery that provides oxygenated blood to the tissues of the leg. It passes through the deep tissues of the femoral (or thigh) region of the leg parallel to the femur. The common femoral artery is the largest artery found in the femoral region of the body. It begins as a co... | error | 1,742,587,831,703 | null | null | null |
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