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int64
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1.8k
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JSON data: { "54d3a66f-7dfb-46a7-9526-3d78097fdfd4": "e19f64f7-7f3d-47ec-97ae-898caf9493be", "285919b6-6b72-4299-9c63-c57e591a67bc": "c2b827b1-8e87-4ade-be8f-9e556a26a314", "1af3b9e3-b73e-4d17-b970-091f5f004d70": "9a2f3ffe-6490-43d2-a6ab-345ea9340ff1", "69d69973-b353-49ad-93a7-0f88de66de89": "b59e38ae-7...
Key: 3ceaa38b-96e8-4702-aef8-32eb45eba6c6 Corresponding value: 6bb4e1f2-496d-4776-9507-8e49c1d0b683 Key: a974982a-cfe6-4b9f-a606-ceb0950c60a7 Corresponding value: 79e162d0-893d-450e-86b0-d8585d86f322
54d3a66f-7dfb-46a7-9526-3d78097fdfd4
e19f64f7-7f3d-47ec-97ae-898caf9493be
0
1,800
1,800
{context} Extract the value corresponding to the specified key in the JSON object below. {demos}Key: {question} Corresponding value:
{context} Extract the value corresponding to the specified key in the JSON object below. {demos}Key: {question}
Corresponding value:
def post_process(output, example): prediction = output["output"] answer = example["answer"] mets = calculate_metrics(prediction, answer) # we don't really need to parse because we ues substring em, but could be nice to see how precise the model is parsed_pred = parse_output(p...
"JSON data:\n{\n \"86e0a95c-ee3d-4f6e-9ea7-67de1857d696\": \"d5be49a3-156d-4309-985c-bfeccf861f2d(...TRUNCATED)
"Key: b1bb2c30-0671-4ee2-bf42-638f2f4abaa0\nCorresponding value: 97fd5451-06fd-4972-b418-0d3bbad0015(...TRUNCATED)
c7c4da6f-37a7-4948-a430-17e79ef801f2
87e3ba9f-3ae0-482e-a607-195db01ee16f
0.2
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"ae7f83ef-5cb7-4617-84f4-f1aab07d4420\": \"bc6d059f-4a09-441a-bdcb-cf3f71f425f8(...TRUNCATED)
"Key: 5f1d1067-9d61-463e-ac8b-475145661010\nCorresponding value: ef3875ff-2698-4a51-aabf-13b1790a131(...TRUNCATED)
769fe0ff-d097-4b54-b785-aee8b808fe84
1097f024-e8da-4418-9ce3-4d33e8e38f5c
0.4
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"0ea39e94-7ceb-46c1-8ed9-df41ad173773\": \"e2c1e117-dc3b-46ed-8d43-43f172883051(...TRUNCATED)
"Key: f327b91d-c04a-4dfb-b585-1c46991fc3a3\nCorresponding value: bf15f73b-453b-4ef7-b882-5ff0f2e1c08(...TRUNCATED)
ad6fcd3d-0843-4adf-946c-d700753d3008
24592eb6-e47a-4e64-b419-5861eea62881
0.6
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"ee432bee-927b-484d-939d-228ccf0b0acc\": \"84fac742-d989-4bf4-a77b-58e94d7e5669(...TRUNCATED)
"Key: 53f2da52-9749-4670-a22e-49964b1e6d33\nCorresponding value: 501eb808-bbad-46d8-8349-2c6fa6ab012(...TRUNCATED)
808ec00f-ba45-471d-9584-3acbc51facb6
b4e9c932-6192-4a58-beae-14709c41b52a
0.6
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"0bb1cfab-8720-4bf8-b29d-9829a6e950d4\": \"f8fd26e0-7b2e-4116-8e20-775ab2d9a1b6(...TRUNCATED)
"Key: 912e4211-3761-44ff-887e-c7f6386e9d4b\nCorresponding value: c2dcbe08-f234-4f5c-a934-597cba4d0ac(...TRUNCATED)
91b01089-682f-4b9d-a394-db82510ece46
0995a690-6cd2-42d0-a42b-df073579e10e
0.8
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"0757018e-79ef-4c89-a340-3eac5353a67c\": \"bbcc0fbf-4c75-4947-a443-624f44a5d5b9(...TRUNCATED)
"Key: be44ea07-0c6c-4df9-8018-c234b8e3f0c3\nCorresponding value: e867492f-0f5c-4333-9a10-7b373d30d5d(...TRUNCATED)
5131084e-1b44-4bf6-8427-502a985c6789
67856300-31d9-4198-816c-d9920145da43
0.2
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"9139cb0d-3655-46ae-8708-26d4e48a37f6\": \"6eb6c7ac-8ffb-474d-8f09-94b3977be15c(...TRUNCATED)
"Key: 7cdd61d7-6980-4443-bad0-59765e6fdc10\nCorresponding value: 22f078ed-5e9a-44ec-8bd7-5d6a7999099(...TRUNCATED)
9139cb0d-3655-46ae-8708-26d4e48a37f6
6eb6c7ac-8ffb-474d-8f09-94b3977be15c
0
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"1dc10936-1fc0-4efd-b923-5419d260fda4\": \"ca875896-a384-4b19-a00c-a7f2828600d7(...TRUNCATED)
"Key: 43471813-29b6-4f41-b6c8-8e53b2998126\nCorresponding value: 6fe896ce-d605-47a0-b45b-1287588f098(...TRUNCATED)
99c9d452-6071-47d1-a293-8a2d23d87899
7d580715-a332-467f-ad62-cb51e5367ce2
0.6
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
"JSON data:\n{\n \"9139cb0d-3655-46ae-8708-26d4e48a37f6\": \"6eb6c7ac-8ffb-474d-8f09-94b3977be15c(...TRUNCATED)
"Key: 8a986003-19e0-4eda-840c-f83da8632f7b\nCorresponding value: 19ee7ade-df56-4d1b-81c8-950abd44651(...TRUNCATED)
17e5b9b1-39f0-4c81-af69-51866222facd
5a802315-2123-49fd-b449-48b11580f2fd
0.2
1,800
1,800
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
"{context}\n\nExtract the value corresponding to the specified key in the JSON object below.\n\n{dem(...TRUNCATED)
Corresponding value:
" def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
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