doc dict | metric dict | model_response dict |
|---|---|---|
{
"choices": [
" The air stays cleaner.",
" Cars can travel at faster speeds.",
" The skills of the drivers improve.",
" It becomes safer to drive on the roads."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"i... | {
"acc": 1,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
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81434,
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28540,
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220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" The Moon is made of hot gases.",
" The Moon is covered with many craters.",
" The Moon has many bodies of liquid water.",
" The Moon has the ability to give off its own light."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_s... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" Pluto",
" Saturn",
" the Sun",
" the Moon"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "511",
"images": null,
"instruction": null,
"num_samples": 1,
"original_query": null,
"q... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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9125,
198,
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81434,
356,
28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" be focused into a straight line.",
" lose energy and dissipate.",
" change length and direction.",
" reflect off the water's surface."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "906",... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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2696,
25,
5651,
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2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" 3",
" 5",
" 6",
" 8"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "148",
"images": null,
"instruction": null,
"num_samples": 1,
"original_query": null,
"query": "Question: How ... | {
"acc": 1,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
128011,
9125,
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567,
34689,
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81434,
356,
28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" Thick fog develops.",
" Temperatures increase.",
" Clouds begin to form.",
" Winds die down."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "368",
"images": null,
"instruction": null,... | {
"acc": 0,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
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"input_tokens": [
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2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" decrease in air temperature",
" increase in rainfall amounts",
" slow movement of a glacier",
" rapid growth of plant roots"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 1,
"id": "930",
"images... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
128011,
9125,
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271,
81434,
356,
28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" slower",
" faster",
" at the same speed"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"id": "121",
"images": null,
"instruction": null,
"num_samples": 1,
"original_query": null,
"query":... | {
"acc": 1,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false
],
"input": null,
"input_tokens": [
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9125,
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28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
6664,
... |
{
"choices": [
" A southward dip in the jet stream",
" A northward movement of the jet stream",
" The Coriolis effect creating a low pressure area",
" The Coriolis effect creating a high pressure area"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"gene... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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9125,
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356,
28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" 0.02 s",
" 50 s",
" 100 s",
" 200 s"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 1,
"id": "280",
"images": null,
"instruction": null,
"num_samples": 1,
"original_query": null,
"query":... | {
"acc": 1,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
128011,
9125,
198,
567,
34689,
271,
81434,
356,
28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" a small size",
" flat, grinding teeth",
" sharp vision and hearing",
" resistance to weather changes"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "381",
"images": null,
"instruction... | {
"acc": 1,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
128011,
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2696,
25,
5651,
220,
2366,
20,
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15724,
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... |
{
"choices": [
" The color of his dog's food dish",
" The kind of food he gives his dog",
" The amount of food he gives his dog",
" The time of day he feeds his dog"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 1,
... | {
"acc": 1,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" exclude research on teeth or bones",
" predict what the next discovery will be",
" analyze new data as it becomes available",
" delete earlier reports that were missing the new findings"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"ge... | {
"acc": 0,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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28540,
2696,
25,
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220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" The eruption intensified the greenhouse effect.",
" Lava flow from the eruption caused a temporary increase in Earth's total heat energy.",
" The eruption caused damage to the ozone layer.",
" Air pollution from the eruption caused a decrease in the amount of solar energy reaching Ear... | {
"acc": 0,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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2696,
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220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" a sheet of rubber",
" a sheet of paper",
" a sheet of metal",
" a sheet of wood"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"id": "614",
"images": null,
"instruction": null,
"num_sampl... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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2696,
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5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" cool off.",
" stay hidden.",
" attract mates.",
" protect skin."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 1,
"id": "622",
"images": null,
"instruction": null,
"num_samples": 1,
"origi... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
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2366,
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198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" 0.25 V",
" 4 V",
" 15 V",
" 36 V"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 3,
"id": "818",
"images": null,
"instruction": null,
"num_samples": 1,
"original_query": null,
"query": "Q... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
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false,
false,
false
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"input": null,
"input_tokens": [
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5651,
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2366,
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198,
15724,
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25,
220,
868,
... |
{
"choices": [
" mass of +3.",
" mass of -3.",
" charge of +3.",
" charge of -3."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 3,
"id": "263",
"images": null,
"instruction": null,
"num_samples": 1,
"origi... | {
"acc": 1,
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} | {
"argmax_logits_eq_gold": [
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false,
false,
false
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"input": null,
"input_tokens": [
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25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" biofuel",
" hydroelectricity",
" geothermal heat",
" solar radiation"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"id": "164",
"images": null,
"instruction": null,
"num_samples": 1,
"... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
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"input": null,
"input_tokens": [
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25,
5651,
220,
2366,
20,
198,
15724,
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220,
868,
... |
{
"choices": [
" They both hibernate.",
" They both have feathers.",
" They both reproduce by laying eggs.",
" They both provide milk for their young."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "860",... | {
"acc": 0,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
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"input": null,
"input_tokens": [
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2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" The Sun has many organisms living on it.",
" The Sun is in the Milky Way galaxy.",
" The Sun has moons revolving around it.",
" The Sun is a star made of gases."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gol... | {
"acc": 1,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
],
"input": null,
"input_tokens": [
128011,
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198,
567,
34689,
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81434,
356,
28540,
2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" 32° F",
" 41° F",
" 78° F",
" 98° F"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 2,
"id": "12",
"images": null,
"instruction": null,
"num_samples": 1,
"original_query": null,
"query": ... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
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"input": null,
"input_tokens": [
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2696,
25,
5651,
220,
2366,
20,
198,
15724,
2696,
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220,
868,
... |
{
"choices": [
" ice, water, steam",
" ice, steam, water",
" steam, ice, water",
" steam, water, ice"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"id": "239",
"images": null,
"instruction": null,
"num_s... | {
"acc": 1,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
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false,
false
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"input": null,
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... |
{
"choices": [
" to decompose.",
" to pollinate flowers.",
" to recycle nutrients in the soil.",
" to collect acorns and bury them in the soil."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 3,
"id": "445",
"ima... | {
"acc": 0,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
false,
false,
false,
false
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2366,
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198,
15724,
2696,
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220,
868,
... |
{
"choices": [
" caused by physical vibrations.",
" moved by the force of gravity.",
" types of electromagnetic waves.",
" of the same frequency."
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"id": "1156",
"... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
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false,
false
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198,
15724,
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220,
868,
... |
{
"choices": [
" carpooling to work",
" composting grass clippings",
" using a solar-powered calculator",
" watering the lawn in the morning"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index": 0,
"id": "605",
"images... | {
"acc": 1,
"acc_with_logprob_normalization": 1
} | {
"argmax_logits_eq_gold": [
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false,
false,
false
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5651,
220,
2366,
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198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" birds building a nest in a bush",
" worms eating the roots of a plant",
" squirrels burying seeds from a tree",
" deer scraping their antlers on a tree"
],
"fewshot_samples": [],
"fewshot_sorting_class": null,
"generation_grammar": null,
"generation_size": 1,
"gold_index":... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
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false,
false,
false
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"input": null,
"input_tokens": [
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2366,
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198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" They have each lost kinetic energy.",
" They have each gained the same amount of potential energy.",
" They have each lost the same amount of potential energy.",
" They have each gained one-half of their maximum kinetic energy."
],
"fewshot_samples": [],
"fewshot_sorting_class":... | {
"acc": 0,
"acc_with_logprob_normalization": 0
} | {
"argmax_logits_eq_gold": [
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false,
false,
false
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"input": null,
"input_tokens": [
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5651,
220,
2366,
20,
198,
15724,
2696,
25,
220,
868,
... |
{
"choices": [
" Pour a bucket a sand through the air.",
" Pour water over a pile of sand.",
" Filter sand through a screen into water.",
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End of preview. Expand in Data Studio
Dataset Card for Evaluation run of iamgroot42/smollm3-Custom-DPO-merged
Dataset automatically created during the evaluation run of model iamgroot42/smollm3-Custom-DPO-merged.
The dataset is composed of 3 configuration, each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
from datasets import load_dataset
data = load_dataset("iamgroot42/details_iamgroot42__smollm3-Custom-DPO-merged_private",
"results",
split="train")
Latest results
These are the latest results from run 2025-10-15T14:45:23.111580(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
{
"all": {
"truthfulqa_mc1": 0.3843329253365973,
"truthfulqa_mc1_stderr": 0.017028707301245203,
"truthfulqa_mc2": 0.5631066157264927,
"truthfulqa_mc2_stderr": 0.016385787631984033,
"acc": 0.4492048923531407,
"acc_stderr": 0.009626722956175863,
"acc_with_logprob_normalization": 0.5159088653593473,
"acc_with_logprob_normalization_stderr": 0.009565458870319564
},
"leaderboard|truthfulqa:mc|0": {
"truthfulqa_mc1": 0.3843329253365973,
"truthfulqa_mc1_stderr": 0.017028707301245203,
"truthfulqa_mc2": 0.5631066157264927,
"truthfulqa_mc2_stderr": 0.016385787631984033
},
"leaderboard|hellaswag|0": {
"acc": 0.5067715594503087,
"acc_stderr": 0.004989323787413518,
"acc_with_logprob_normalization": 0.6316470822545309,
"acc_with_logprob_normalization_stderr": 0.004813719952829966
},
"leaderboard|arc:challenge|0": {
"acc": 0.3916382252559727,
"acc_stderr": 0.014264122124938208,
"acc_with_logprob_normalization": 0.40017064846416384,
"acc_with_logprob_normalization_stderr": 0.014317197787809162
}
}
Dataset Details
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