caption listlengths 2 2 | clip_embed sequencelengths 768 768 | ib_embed sequencelengths 1.02k 1.02k |
|---|---|---|
[
{
"from": "human",
"value": "<image>\nThis task tests your ability to count number of objects. Here is the question \"How many chairs are in the photo?\"."
},
{
"from": "gpt",
"value": "two"
}
] | [
0.1927490234375,
0.81884765625,
-0.021209716796875,
-1.4208984375,
0.1865234375,
-0.0175933837890625,
0.326904296875,
0.2001953125,
-0.29443359375,
-0.357177734375,
-0.046630859375,
-0.1453857421875,
0.366455078125,
0.5751953125,
0.459228515625,
0.08428955078125,
1.529296875,
-0.51... | [
-0.00042694431613199413,
0.012040973640978336,
-0.03851163014769554,
0.0008177888230420649,
-0.01440481748431921,
0.023734837770462036,
-0.04745323583483696,
0.028157111257314682,
-0.018502602353692055,
0.005976324900984764,
-0.027791589498519897,
0.0259686429053545,
-0.012784896418452263,
... |
[
{
"from": "human",
"value": "<image>\nGiven an image of an animal, identify the kind of animal in the image. The picture could be of more popular animals that are visible around zoos or are sometimes domesticated at home. They could also sometimes be found in the wild.\nOptions: (a) This image contains a ze... | [
0.89599609375,
0.437255859375,
-0.295654296875,
0.493896484375,
0.6806640625,
0.0278167724609375,
0.0185699462890625,
0.088623046875,
-0.09234619140625,
-0.54931640625,
-0.1480712890625,
-0.058502197265625,
0.3134765625,
0.6787109375,
-0.032562255859375,
0.86328125,
-0.495849609375,
... | [
0.006377753335982561,
-0.0021771122701466084,
-0.016648486256599426,
0.022227929905056953,
0.017924444749951363,
-0.020763272419571877,
0.014513486064970493,
0.011421787552535534,
0.013064198195934296,
-0.00282047176733613,
-0.03827324137091637,
-0.011573919095098972,
-0.01235397718846798,
... |
[
{
"from": "human",
"value": "<image>\nThe primary objective of this task is to accurately identify the type and cause of anomalies in the object present in the provided image. The image depicts a specific category of object and texture, and within this category, there are defect-free images as well as image... | [
0.6044921875,
0.626953125,
0.405029296875,
1.173828125,
0.3818359375,
0.377197265625,
0.517578125,
0.57666015625,
0.2578125,
-0.74560546875,
-0.419677734375,
-0.38037109375,
-0.2939453125,
0.1151123046875,
0.78662109375,
0.1563720703125,
-0.56201171875,
-0.004199981689453125,
-0.... | [
0.04377191513776779,
0.03897206112742424,
0.0004607330774888396,
0.010736705735325813,
-0.0035766614601016045,
-0.03482409194111824,
0.014949587173759937,
-0.00974414125084877,
-0.014029532670974731,
0.015479624271392822,
-0.010482218116521835,
0.020965170115232468,
-0.004998491611331701,
... |
[
{
"from": "human",
"value": "You are provided with a chart image and a question related to the chart. Answer the question based on the information given in the chart.\n\nHow many dotlines are there ?\n<image>"
},
{
"from": "gpt",
"value": "2"
}
] | [
0.42236328125,
-0.17333984375,
0.6884765625,
1.6494140625,
-0.8193359375,
-0.292236328125,
0.240234375,
-0.360107421875,
-0.421875,
-0.29443359375,
0.490966796875,
0.260498046875,
-0.389404296875,
-0.1663818359375,
0.63818359375,
-0.57275390625,
-0.334228515625,
0.435546875,
-1.0... | [
-0.011489189229905605,
0.03092753328382969,
-0.03245149180293083,
-0.013470281846821308,
-0.022429514676332474,
-0.018540633842349052,
0.04099709913134575,
-0.0265387874096632,
0.023635903373360634,
0.061572615057229996,
-0.008573215454816818,
0.013686700724065304,
-0.031249502673745155,
0... |
[
{
"from": "human",
"value": "<image>\nThis task asks you to identify if an object appears in the image. Is there a banana in the picture?"
},
{
"from": "gpt",
"value": "no"
}
] | [
0.279296875,
1.529296875,
0.435302734375,
-0.0064697265625,
-0.06085205078125,
0.048431396484375,
-0.2303466796875,
0.01629638671875,
0.5302734375,
-0.67529296875,
0.260498046875,
-0.365966796875,
-0.09454345703125,
0.248779296875,
1.107421875,
-0.2724609375,
-0.205810546875,
-0.95... | [
-0.0008598539279773831,
-0.022281337529420853,
-0.012775284238159657,
-0.04233752563595772,
0.0024853888899087906,
0.012304862029850483,
-0.014538166113197803,
0.012235711328685284,
-0.006761688739061356,
0.021989667788147926,
0.038775891065597534,
0.013521772809326649,
0.031542953103780746,... |
[{"from":"human","value":"<image>\nYou are provided with a picture and a question related to the pic(...TRUNCATED) | [0.28076171875,-0.5185546875,-0.66845703125,-1.3134765625,-0.0283966064453125,0.0162200927734375,-0.(...TRUNCATED) | [0.025118673220276833,0.024066349491477013,-0.009102117270231247,0.04033026844263077,-0.009748840704(...TRUNCATED) |
[{"from":"human","value":"<image>\nQuestion: Is the picture taken outdoors?\nPlease answer the quest(...TRUNCATED) | [-0.2568359375,-0.40869140625,-0.2310791015625,-0.66943359375,0.1890869140625,-0.266845703125,0.4599(...TRUNCATED) | [-0.0026851145084947348,-0.03199931979179382,0.027542969211935997,-0.029347054660320282,0.0511743612(...TRUNCATED) |
[{"from":"human","value":"Here is a picture of some fine art created in the past, I would like to kn(...TRUNCATED) | [-0.65576171875,0.54443359375,0.30859375,0.37109375,0.1588134765625,0.07403564453125,0.1000366210937(...TRUNCATED) | [-0.004231888335198164,0.002602894091978669,-0.014762739650905132,0.037590142339468,-0.0757959336042(...TRUNCATED) |
[{"from":"human","value":"Given a picture of certain environment, answer the following question.\nIs(...TRUNCATED) | [-0.0229034423828125,0.97998046875,0.11590576171875,0.97314453125,-0.50341796875,0.1915283203125,0.0(...TRUNCATED) | [-0.038035374134778976,-0.012695502489805222,-0.02749975025653839,0.0013363573234528303,0.0085504679(...TRUNCATED) |
[{"from":"human","value":"You are provided with an image and a question related to the image. Answer(...TRUNCATED) | [-0.14453125,0.49658203125,-0.5166015625,-0.89111328125,1.318359375,0.09765625,-0.06793212890625,-0.(...TRUNCATED) | [0.005477618891745806,0.04119637608528137,-0.009927208535373211,-0.008752765133976936,-0.01785130426(...TRUNCATED) |
End of preview. Expand in Data Studio
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
- Curated by: [More Information Needed]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
Dataset Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Dataset Structure
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Data Collection and Processing
[More Information Needed]
Who are the source data producers?
[More Information Needed]
Annotations [optional]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Dataset Card Authors [optional]
[More Information Needed]
Dataset Card Contact
[More Information Needed]
- Downloads last month
- 14