data_source stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
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\": \"lambada_openai_cloze_yaml__5c8f8625__s026__tb131072__v080\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 59528.76447139072, \"nll_base\": 10.994214911209909, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s026__tb131072__v080\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s026__tb131072__v080",
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"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s026__tb262144__v078\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 59528.76447139072, \"nll_base\": 10.994214911209909, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s026__tb262144__v078\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s026__tb262144__v078",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s026__tb262144__v078",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s027__tb131072__v083\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 58830.513126836864, \"nll_base\": 10.982415930017249, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s027__tb131072__v083\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s027__tb131072__v083",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s027__tb131072__v083",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s027__tb262144__v081\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 58830.513126836864, \"nll_base\": 10.982415930017249, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s027__tb262144__v081\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s027__tb262144__v081",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s027__tb262144__v081",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s028__tb131072__v086\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 50530.50226387905, \"nll_base\": 10.830332438151041, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s028__tb131072__v086\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s028__tb131072__v086",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s028__tb131072__v086",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s028__tb262144__v084\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 50530.50226387905, \"nll_base\": 10.830332438151041, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s028__tb262144__v084\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s028__tb262144__v084",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s028__tb262144__v084",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s029__tb131072__v089\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 116203.10433147743, \"nll_base\": 11.663094838460287, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s029__tb131072__v089\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s029__tb131072__v089",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s029__tb131072__v089",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s029__tb65536__v088\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 116203.10433147743, \"nll_base\": 11.663094838460287, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s029__tb65536__v088\", \"oracle_... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s029__tb65536__v088",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s029__tb65536__v088",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s030__tb131072__v092\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 119626.6383644174, \"nll_base\": 11.692130824497768, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s030__tb131072__v092\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s030__tb131072__v092",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s030__tb131072__v092",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s030__tb262144__v090\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 119626.6383644174, \"nll_base\": 11.692130824497768, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s030__tb262144__v090\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s030__tb262144__v090",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s030__tb262144__v090",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s030__tb65536__v091\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 119626.6383644174, \"nll_base\": 11.692130824497768, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s030__tb65536__v091\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s030__tb65536__v091",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s030__tb65536__v091",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s031__tb131072__v095\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 52866.48706986356, \"nll_base\": 10.87552490234375, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s031__tb131072__v095\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s031__tb131072__v095",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s031__tb131072__v095",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s031__tb262144__v093\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 52866.48706986356, \"nll_base\": 10.87552490234375, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s031__tb262144__v093\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s031__tb262144__v093",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s031__tb262144__v093",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s032__tb131072__v098\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 18328.16858119599, \"nll_base\": 9.816194422104779, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s032__tb131072__v098\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s032__tb131072__v098",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s032__tb131072__v098",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s032__tb262144__v096\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 18328.16858119599, \"nll_base\": 9.816194422104779, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s032__tb262144__v096\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s032__tb262144__v096",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s032__tb262144__v096",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s033__tb131072__v101\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 64722.69878010529, \"nll_base\": 11.077867250184756, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s033__tb131072__v101\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s033__tb131072__v101",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s033__tb131072__v101",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s033__tb262144__v099\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 64722.69878010529, \"nll_base\": 11.077867250184756, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s033__tb262144__v099\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s033__tb262144__v099",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s033__tb262144__v099",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s033__tb65536__v100\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 64722.69878010529, \"nll_base\": 11.077867250184756, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s033__tb65536__v100\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s033__tb65536__v100",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s033__tb65536__v100",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s034__tb131072__v104\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 52538.04336277525, \"nll_base\": 10.869292821639624, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s034__tb131072__v104\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s034__tb131072__v104",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s034__tb131072__v104",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s034__tb262144__v102\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 52538.04336277525, \"nll_base\": 10.869292821639624, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s034__tb262144__v102\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s034__tb262144__v102",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s034__tb262144__v102",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s035__tb131072__v107\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 39757.74513793584, \"nll_base\": 10.590559947339795, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s035__tb131072__v107\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s035__tb131072__v107",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s035__tb131072__v107",
"axis": "domain_ppl",
"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\": \"lambada_openai_cloze_yaml__5c8f8625__s035__tb262144__v105\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 39757.74513793584, \"nll_base\": 10.590559947339795, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s035__tb262144__v105\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s035__tb262144__v105",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s035__tb262144__v105",
"axis": "domain_ppl",
"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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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
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datacuration | [
{
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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 | {
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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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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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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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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",
"ground_truth": "{\"task_id\": \"lambada_openai_cloze_yaml__5c8f8625__s052__tb65536__v157\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 65616.2043684199, \"nll_base\": 11.091577962239583, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s052__tb65536__v157\", \"oracle_de... | {
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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",
"ground_truth": "{\"task_id\": \"lambada_openai_mt_en__46aac8a7__s005__tb131072__v017\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 152210.77933796326, \"nll_base\": 11.933021545410156, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s005__tb131072__v017\", \"oracle_delta\"... | {
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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\": \"lambada_openai_mt_en__46aac8a7__s006__tb131072__v020\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 5564.926351681511, \"nll_base\": 8.624239029422883, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s006__tb131072__v020\", \"oracle_delta\": ... | {
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"axis": "multilingual_ppl",
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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": "multilingual_ppl",
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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\": \"lambada_openai_mt_en__46aac8a7__s008__tb131072__v026\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 92319.47340856996, \"nll_base\": 11.433010377745697, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s008__tb131072__v026\", \"oracle_delta\":... | {
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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\": \"lambada_openai_mt_en__46aac8a7__s008__tb262144__v024\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 92319.47340856996, \"nll_base\": 11.433010377745697, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s008__tb262144__v024\", \"oracle_delta\":... | {
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"axis": "multilingual_ppl",
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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\": \"lambada_openai_mt_en__46aac8a7__s010__tb262144__v030\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 20593.70700300481, \"nll_base\": 9.932740822816507, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s010__tb262144__v030\", \"oracle_delta\": ... | {
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"axis": "multilingual_ppl",
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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\": \"lambada_openai_mt_en__46aac8a7__s012__tb131072__v038\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 21768.1847504038, \"nll_base\": 9.988204767674576, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s012__tb131072__v038\", \"oracle_delta\": 0... | {
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"axis": "multilingual_ppl",
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"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",
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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\": \"lambada_openai_mt_en__46aac8a7__s015__tb262144__v045\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 11262.458882555575, \"nll_base\": 9.329230251082455, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s015__tb262144__v045\", \"oracle_delta\":... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s016__tb131072__v050\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 113295.58320712604, \"nll_base\": 11.637755463088768, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s016__tb131072__v050\", \"oracle_delta\"... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s016__tb262144__v048\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 113295.58320712604, \"nll_base\": 11.637755463088768, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s016__tb262144__v048\", \"oracle_delta\"... | {
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"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s016__tb65536__v049\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 113295.58320712604, \"nll_base\": 11.637755463088768, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s016__tb65536__v049\", \"oracle_delta\": 0... | {
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"uid": "lambada_openai_mt_en__46aac8a7__s016__tb65536__v049",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s017__tb131072__v053\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 18949.435311844907, \"nll_base\": 9.849529411219343, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s017__tb131072__v053\", \"oracle_delta\":... | {
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"uid": "lambada_openai_mt_en__46aac8a7__s017__tb131072__v053",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s018__tb131072__v056\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 36366.64180215645, \"nll_base\": 10.501407199435764, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s018__tb131072__v056\", \"oracle_delta\":... | {
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"uid": "lambada_openai_mt_en__46aac8a7__s018__tb131072__v056",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s018__tb262144__v054\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 36366.64180215645, \"nll_base\": 10.501407199435764, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s018__tb262144__v054\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_en__46aac8a7__s018__tb262144__v054",
"uid": "lambada_openai_mt_en__46aac8a7__s018__tb262144__v054",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_en__46aac8a7__s018__tb65536__v055\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 36366.64180215645, \"nll_base\": 10.501407199435764, \"eval_ref\": \"lambada_openai_mt_en__46aac8a7__s018__tb65536__v055\", \"oracle_delta\": 0.... | {
"index": "lambada_openai_mt_en__46aac8a7__s018__tb65536__v055",
"uid": "lambada_openai_mt_en__46aac8a7__s018__tb65536__v055",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s000__tb131072__v000\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 787.6443987366684, \"nll_base\": 6.669046717365895, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s000__tb131072__v000\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s000__tb131072__v000",
"uid": "lambada_openai_mt_es__d838e1dd__s000__tb131072__v000",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s000__tb262144__v001\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 787.6443987366684, \"nll_base\": 6.669046717365895, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s000__tb262144__v001\", \"oracle_delta\": ... | {
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"uid": "lambada_openai_mt_es__d838e1dd__s000__tb262144__v001",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s000__tb65536__v002\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 787.6443987366684, \"nll_base\": 6.669046717365895, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s000__tb65536__v002\", \"oracle_delta\": 0.2... | {
"index": "lambada_openai_mt_es__d838e1dd__s000__tb65536__v002",
"uid": "lambada_openai_mt_es__d838e1dd__s000__tb65536__v002",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s001__tb131072__v003\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1943.0897569242925, \"nll_base\": 7.5720346433307055, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s001__tb131072__v003\", \"oracle_delta\"... | {
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"uid": "lambada_openai_mt_es__d838e1dd__s001__tb131072__v003",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s001__tb262144__v004\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1943.0897569242925, \"nll_base\": 7.5720346433307055, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s001__tb262144__v004\", \"oracle_delta\"... | {
"index": "lambada_openai_mt_es__d838e1dd__s001__tb262144__v004",
"uid": "lambada_openai_mt_es__d838e1dd__s001__tb262144__v004",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s001__tb65536__v005\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1943.0897569242925, \"nll_base\": 7.5720346433307055, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s001__tb65536__v005\", \"oracle_delta\": 0... | {
"index": "lambada_openai_mt_es__d838e1dd__s001__tb65536__v005",
"uid": "lambada_openai_mt_es__d838e1dd__s001__tb65536__v005",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s002__tb131072__v006\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 329.2502719329219, \"nll_base\": 5.796818166539289, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s002__tb131072__v006\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s002__tb131072__v006",
"uid": "lambada_openai_mt_es__d838e1dd__s002__tb131072__v006",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s002__tb262144__v007\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 329.2502719329219, \"nll_base\": 5.796818166539289, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s002__tb262144__v007\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s002__tb262144__v007",
"uid": "lambada_openai_mt_es__d838e1dd__s002__tb262144__v007",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s002__tb65536__v008\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 329.2502719329219, \"nll_base\": 5.796818166539289, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s002__tb65536__v008\", \"oracle_delta\": 0.2... | {
"index": "lambada_openai_mt_es__d838e1dd__s002__tb65536__v008",
"uid": "lambada_openai_mt_es__d838e1dd__s002__tb65536__v008",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s003__tb131072__v009\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1169.2248020897189, \"nll_base\": 7.06409624588391, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s003__tb131072__v009\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s003__tb131072__v009",
"uid": "lambada_openai_mt_es__d838e1dd__s003__tb131072__v009",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s003__tb262144__v010\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1169.2248020897189, \"nll_base\": 7.06409624588391, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s003__tb262144__v010\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s003__tb262144__v010",
"uid": "lambada_openai_mt_es__d838e1dd__s003__tb262144__v010",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s003__tb65536__v011\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 1169.2248020897189, \"nll_base\": 7.06409624588391, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s003__tb65536__v011\", \"oracle_delta\": 0.3... | {
"index": "lambada_openai_mt_es__d838e1dd__s003__tb65536__v011",
"uid": "lambada_openai_mt_es__d838e1dd__s003__tb65536__v011",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s004__tb131072__v012\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 935.2994355955112, \"nll_base\": 6.840866729992778, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s004__tb131072__v012\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s004__tb131072__v012",
"uid": "lambada_openai_mt_es__d838e1dd__s004__tb131072__v012",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s004__tb262144__v013\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 935.2994355955112, \"nll_base\": 6.840866729992778, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s004__tb262144__v013\", \"oracle_delta\": ... | {
"index": "lambada_openai_mt_es__d838e1dd__s004__tb262144__v013",
"uid": "lambada_openai_mt_es__d838e1dd__s004__tb262144__v013",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s004__tb65536__v014\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 935.2994355955112, \"nll_base\": 6.840866729992778, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s004__tb65536__v014\", \"oracle_delta\": 0.3... | {
"index": "lambada_openai_mt_es__d838e1dd__s004__tb65536__v014",
"uid": "lambada_openai_mt_es__d838e1dd__s004__tb65536__v014",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s005__tb131072__v015\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 2111.050655087007, \"nll_base\": 7.65494104333826, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s005__tb131072__v015\", \"oracle_delta\": 0... | {
"index": "lambada_openai_mt_es__d838e1dd__s005__tb131072__v015",
"uid": "lambada_openai_mt_es__d838e1dd__s005__tb131072__v015",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s005__tb262144__v016\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 2111.050655087007, \"nll_base\": 7.65494104333826, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s005__tb262144__v016\", \"oracle_delta\": 1... | {
"index": "lambada_openai_mt_es__d838e1dd__s005__tb262144__v016",
"uid": "lambada_openai_mt_es__d838e1dd__s005__tb262144__v016",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s005__tb65536__v017\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 2111.050655087007, \"nll_base\": 7.65494104333826, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s005__tb65536__v017\", \"oracle_delta\": 0.40... | {
"index": "lambada_openai_mt_es__d838e1dd__s005__tb65536__v017",
"uid": "lambada_openai_mt_es__d838e1dd__s005__tb65536__v017",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s006__tb131072__v018\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 883.951759662736, \"nll_base\": 6.784402490631352, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s006__tb131072__v018\", \"oracle_delta\": 0... | {
"index": "lambada_openai_mt_es__d838e1dd__s006__tb131072__v018",
"uid": "lambada_openai_mt_es__d838e1dd__s006__tb131072__v018",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s006__tb262144__v019\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 883.951759662736, \"nll_base\": 6.784402490631352, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s006__tb262144__v019\", \"oracle_delta\": 1... | {
"index": "lambada_openai_mt_es__d838e1dd__s006__tb262144__v019",
"uid": "lambada_openai_mt_es__d838e1dd__s006__tb262144__v019",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s006__tb65536__v020\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 883.951759662736, \"nll_base\": 6.784402490631352, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s006__tb65536__v020\", \"oracle_delta\": 0.34... | {
"index": "lambada_openai_mt_es__d838e1dd__s006__tb65536__v020",
"uid": "lambada_openai_mt_es__d838e1dd__s006__tb65536__v020",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s007__tb131072__v021\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 1003.2391122246833, \"nll_base\": 6.910989156583461, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s007__tb131072__v021\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_es__d838e1dd__s007__tb131072__v021",
"uid": "lambada_openai_mt_es__d838e1dd__s007__tb131072__v021",
"axis": "multilingual_ppl",
"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\": \"lambada_openai_mt_es__d838e1dd__s007__tb262144__v022\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 1003.2391122246833, \"nll_base\": 6.910989156583461, \"eval_ref\": \"lambada_openai_mt_es__d838e1dd__s007__tb262144__v022\", \"oracle_delta\":... | {
"index": "lambada_openai_mt_es__d838e1dd__s007__tb262144__v022",
"uid": "lambada_openai_mt_es__d838e1dd__s007__tb262144__v022",
"axis": "multilingual_ppl",
"budget": 2048,
"token_budget": 262144,
"variant": "filter"
} |
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