data_source stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
datacuration | [
{
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"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_cifar10_classification_generate_until__c8bda41d__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1069.6333792131322, \"nll_base\": 6.975071232493331, \"eval_ref\": \"bigbench_cifar10_classification_generate_until__c... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s000__tb131072__v002",
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"axis": "code",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s000__tb65536__v001",
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"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s001__tb65536__v004",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s002__tb65536__v007\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.729455346407893, \"nll_base\": 1.7456204732259115, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s002__tb65536__v007",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s002__tb65536__v007",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s003__tb131072__v011\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice_... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s003__tb131072__v011",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s003__tb131072__v011",
"axis": "code",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s003__tb65536__v010\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s003__tb65536__v010",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s003__tb65536__v010",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s004__tb65536__v013\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.767528361850376, \"nll_base\": 1.5618280074732476, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s004__tb65536__v013",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s004__tb65536__v013",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s005__tb65536__v016\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.729455346407893, \"nll_base\": 1.7456204732259115, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s005__tb65536__v016",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s005__tb65536__v016",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s006__tb131072__v020\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice_... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s006__tb131072__v020",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s006__tb131072__v020",
"axis": "code",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s006__tb65536__v019\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s006__tb65536__v019",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s006__tb65536__v019",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s007__tb65536__v022\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.767528361850376, \"nll_base\": 1.5618280074732476, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s007__tb65536__v022",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s007__tb65536__v022",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s008__tb65536__v025\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.729455346407893, \"nll_base\": 1.7456204732259115, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s008__tb65536__v025",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s008__tb65536__v025",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s009__tb131072__v029\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice_... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s009__tb131072__v029",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s009__tb131072__v029",
"axis": "code",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s009__tb65536__v028\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s009__tb65536__v028",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s009__tb65536__v028",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s010__tb65536__v031\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.767528361850376, \"nll_base\": 1.5618280074732476, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s010__tb65536__v031",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s010__tb65536__v031",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s011__tb65536__v034\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.729455346407893, \"nll_base\": 1.7456204732259115, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s011__tb65536__v034",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s011__tb65536__v034",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s012__tb131072__v038\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice_... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s012__tb131072__v038",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s012__tb131072__v038",
"axis": "code",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s012__tb65536__v037\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.111120336633118, \"nll_base\": 1.4136955793513808, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s012__tb65536__v037",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s012__tb65536__v037",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_code_line_description_multiple_choice__4d302ca8__s013__tb65536__v040\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.767528361850376, \"nll_base\": 1.5618280074732476, \"eval_ref\": \"bigbench_code_line_description_multiple_choice__4... | {
"index": "bigbench_code_line_description_multiple_choice__4d302ca8__s013__tb65536__v040",
"uid": "bigbench_code_line_description_multiple_choice__4d302ca8__s013__tb65536__v040",
"axis": "code",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
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datacuration | [
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_conceptual_combinations_generate_until__a6cb49f9__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 6.371384231360026, \"nll_base\": 1.8518167507429064, \"eval_ref\": \"bigbench_conceptual_combinations_generate_unti... | {
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"axis": "reasoning",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_conceptual_combinations_generate_until__a6cb49f9__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 6.371384231360026, \"nll_base\": 1.8518167507429064, \"eval_ref\": \"bigbench_conceptual_combinations_generate_until_... | {
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"axis": "reasoning",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_conceptual_combinations_multiple_choice__bae3b008__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5.922866079851087, \"nll_base\": 1.778820466850304, \"eval_ref\": \"bigbench_conceptual_combinations_multiple_choi... | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_conceptual_combinations_multiple_choice__bae3b008__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 5.922866079851087, \"nll_base\": 1.778820466850304, \"eval_ref\": \"bigbench_conceptual_combinations_multiple_choice... | {
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_contextual_parametric_knowledge_conflicts_generate_until__cf55e9fc__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 15.854322096929321, \"nll_base\": 2.763442150654237, \"eval_ref\": \"bigbench_contextual_parametr... | {
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"axis": "reasoning",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_contextual_parametric_knowledge_conflicts_generate_until__cf55e9fc__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 15.854322096929321, \"nll_base\": 2.763442150654237, \"eval_ref\": \"bigbench_contextual_parametric... | {
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_contextual_parametric_knowledge_conflicts_multiple_choice__1cf8adb5__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 13.657547758762872, \"nll_base\": 2.6142923181707207, \"eval_ref\": \"bigbench_contextual_parame... | {
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"axis": "reasoning",
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"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_crash_blossom_multiple_choice__fcee20e7__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4553.158081291059, \"nll_base\": 8.423576354980469, \"eval_ref\": \"bigbench_crash_blossom_multiple_choice__fcee20e7__s000__... | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_crass_ai_generate_until__d2b5624c__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 9.24031255763784, \"nll_base\": 2.2235757116656685, \"eval_ref\": \"bigbench_crass_ai_generate_until__d2b5624c__s000__tb65536__v001\... | {
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_cryobiology_spanish_generate_until__35435087__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 15.83999554246162, \"nll_base\": 2.762538104975989, \"eval_ref\": \"bigbench_cryobiology_spanish_generate_until__354350... | {
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"axis": "reasoning",
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"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_cryobiology_spanish_generate_until__35435087__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 15.83999554246162, \"nll_base\": 2.762538104975989, \"eval_ref\": \"bigbench_cryobiology_spanish_generate_until__35435087... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_dark_humor_detection_generate_until__15ca4666__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 117.07821062395752, \"nll_base\": 4.762842178344727, \"eval_ref\": \"bigbench_dark_humor_detection_generate_until__15ca4... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_dark_humor_detection_multiple_choice__befd4cf9__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 115.97477810544864, \"nll_base\": 4.753372737339565, \"eval_ref\": \"bigbench_dark_humor_detection_multiple_choice__bef... | {
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datacuration | [
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datacuration | [
{
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datacuration | [
{
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_elementary_math_qa_generate_until__19db5397__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 55.1069998827056, \"nll_base\": 4.009276747703552, \"eval_ref\": \"bigbench_elementary_math_qa_generate_until__19db5397_... | {
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"axis": "reasoning",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_elementary_math_qa_multiple_choice__6b0a4656__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 38.672621510037786, \"nll_base\": 3.6551318951507112, \"eval_ref\": \"bigbench_elementary_math_qa_multiple_choice__6b0a... | {
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"axis": "reasoning",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_elementary_math_qa_multiple_choice__6b0a4656__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 38.672621510037786, \"nll_base\": 3.6551318951507112, \"eval_ref\": \"bigbench_elementary_math_qa_multiple_choice__6b0a... | {
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"axis": "reasoning",
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"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_emoji_movie_generate_until__890e3b6b__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 104.2869183197833, \"nll_base\": 4.647145930552643, \"eval_ref\": \"bigbench_emoji_movie_generate_until__890e3b6b__s000__tb2621... | {
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"uid": "bigbench_emoji_movie_generate_until__890e3b6b__s000__tb262144__v001",
"axis": "reasoning",
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"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_emoji_movie_multiple_choice__54ab336e__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 98.32854673565616, \"nll_base\": 4.58831438922242, \"eval_ref\": \"bigbench_emoji_movie_multiple_choice__54ab336e__s000__tb131... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_emojis_emotion_prediction_generate_until__72b8f3dd__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 3470.272187174015, \"nll_base\": 8.151988309972426, \"eval_ref\": \"bigbench_emojis_emotion_prediction_generate_u... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_emojis_emotion_prediction_multiple_choice__81176ecb__s000__tb131072__v001\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1153.8556605152983, \"nll_base\": 7.050864361702128, \"eval_ref\": \"bigbench_emojis_emotion_prediction_multiple... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_emojis_emotion_prediction_multiple_choice__81176ecb__s000__tb65536__v000\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1153.8556605152983, \"nll_base\": 7.050864361702128, \"eval_ref\": \"bigbench_emojis_emotion_prediction_multiple_c... | {
"index": "bigbench_emojis_emotion_prediction_multiple_choice__81176ecb__s000__tb65536__v000",
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datacuration | [
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datacuration | [
{
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_entailed_polarity_multiple_choice__2ab4de8e__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 9054.336628227904, \"nll_base\": 9.11099910736084, \"eval_ref\": \"bigbench_entailed_polarity_multiple_choice__2ab4de8e_... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_entailed_polarity_multiple_choice__2ab4de8e__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 9054.336628227904, \"nll_base\": 9.11099910736084, \"eval_ref\": \"bigbench_entailed_polarity_multiple_choice__2ab4de8e__s... | {
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_evaluating_information_essentiality_multiple_choice__32082ada__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 4.287069544496869, \"nll_base\": 1.4556034096668764, \"eval_ref\": \"bigbench_evaluating_information_e... | {
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"axis": "reasoning",
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"token_budget": 131072,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_evaluating_information_essentiality_multiple_choice__32082ada__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 4.287069544496869, \"nll_base\": 1.4556034096668764, \"eval_ref\": \"bigbench_evaluating_information_ess... | {
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"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_fact_checker_multiple_choice__b696717b__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2768.7289920417456, \"nll_base\": 7.926143646240234, \"eval_ref\": \"bigbench_fact_checker_multiple_choice__b696717b__s000__tb6... | {
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"axis": "reasoning",
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"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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"axis": "reasoning",
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"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_few_shot_nlg_generate_until__810e8fdc__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 14.20732965336048, \"nll_base\": 2.653758004207739, \"eval_ref\": \"bigbench_few_shot_nlg_generate_until__810e8fdc__s000__tb6553... | {
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"uid": "bigbench_few_shot_nlg_generate_until__810e8fdc__s000__tb65536__v001",
"axis": "reasoning",
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"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_formal_fallacies_syllogisms_negation_generate_until__5eaf95ec__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 28177.491453797928, \"nll_base\": 10.246278762817383, \"eval_ref\": \"bigbench_formal_fallacies_syllog... | {
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"axis": "reasoning",
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"token_budget": 262144,
"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_formal_fallacies_syllogisms_negation_generate_until__5eaf95ec__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 28177.491453797928, \"nll_base\": 10.246278762817383, \"eval_ref\": \"bigbench_formal_fallacies_syllogis... | {
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"uid": "bigbench_formal_fallacies_syllogisms_negation_generate_until__5eaf95ec__s000__tb65536__v001",
"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
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datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_formal_fallacies_syllogisms_negation_multiple_choice__510f2401__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 24519.733573805777, \"nll_base\": 10.10723352432251, \"eval_ref\": \"bigbench_formal_fallacies_syllog... | {
"index": "bigbench_formal_fallacies_syllogisms_negation_multiple_choice__510f2401__s000__tb262144__v000",
"uid": "bigbench_formal_fallacies_syllogisms_negation_multiple_choice__510f2401__s000__tb262144__v000",
"axis": "reasoning",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_formal_fallacies_syllogisms_negation_multiple_choice__510f2401__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 24519.733573805777, \"nll_base\": 10.10723352432251, \"eval_ref\": \"bigbench_formal_fallacies_syllogis... | {
"index": "bigbench_formal_fallacies_syllogisms_negation_multiple_choice__510f2401__s000__tb65536__v001",
"uid": "bigbench_formal_fallacies_syllogisms_negation_multiple_choice__510f2401__s000__tb65536__v001",
"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_gender_inclusive_sentences_german_generate_until__77393b30__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2.253055247157267, \"nll_base\": 0.8122871827461143, \"eval_ref\": \"bigbench_gender_inclusive_sentences_... | {
"index": "bigbench_gender_inclusive_sentences_german_generate_until__77393b30__s000__tb262144__v000",
"uid": "bigbench_gender_inclusive_sentences_german_generate_until__77393b30__s000__tb262144__v000",
"axis": "reasoning",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_gender_inclusive_sentences_german_generate_until__77393b30__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2.253055247157267, \"nll_base\": 0.8122871827461143, \"eval_ref\": \"bigbench_gender_inclusive_sentences_ge... | {
"index": "bigbench_gender_inclusive_sentences_german_generate_until__77393b30__s000__tb65536__v001",
"uid": "bigbench_gender_inclusive_sentences_german_generate_until__77393b30__s000__tb65536__v001",
"axis": "reasoning",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
datacuration | [
{
"role": "system",
"content": "You are a **training-data curator**. A small base language model needs to do better on a **target task**, and you must choose which examples from a large pool of candidate training examples it should be fine-tuned on.\n\nThe base model will be LoRA-fine-tuned on exactly the e... | datacuration_selection | {
"style": "datacuration",
"ground_truth": "{\"task_id\": \"bigbench_general_knowledge_multiple_choice__29420800__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1759.0900239270036, \"nll_base\": 7.472551922465479, \"eval_ref\": \"bigbench_general_knowledge_multiple_choice__2942080... | {
"index": "bigbench_general_knowledge_multiple_choice__29420800__s000__tb131072__v002",
"uid": "bigbench_general_knowledge_multiple_choice__29420800__s000__tb131072__v002",
"axis": "reasoning",
"budget": 2048,
"token_budget": 131072,
"variant": "filter"
} |
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