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__4ad5aa20__s013__tb262144__v041\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 24919.386365166323, \"nll_base\": 10.123401348407452, \"eval_ref\": \"lambada_openai__4ad5aa20__s013__tb262144__v041\", \"oracle_delta\": 1.24455456... | {
"index": "lambada_openai__4ad5aa20__s013__tb262144__v041",
"uid": "lambada_openai__4ad5aa20__s013__tb262144__v041",
"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__4ad5aa20__s013__tb65536__v039\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 24919.386365166323, \"nll_base\": 10.123401348407452, \"eval_ref\": \"lambada_openai__4ad5aa20__s013__tb65536__v039\", \"oracle_delta\": 0.10977524977... | {
"index": "lambada_openai__4ad5aa20__s013__tb65536__v039",
"uid": "lambada_openai__4ad5aa20__s013__tb65536__v039",
"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__4ad5aa20__s015__tb131072__v046\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 29625.054924340042, \"nll_base\": 10.296375732421875, \"eval_ref\": \"lambada_openai__4ad5aa20__s015__tb131072__v046\", \"oracle_delta\": 0.71505900... | {
"index": "lambada_openai__4ad5aa20__s015__tb131072__v046",
"uid": "lambada_openai__4ad5aa20__s015__tb131072__v046",
"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__4ad5aa20__s015__tb262144__v047\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 29625.054924340042, \"nll_base\": 10.296375732421875, \"eval_ref\": \"lambada_openai__4ad5aa20__s015__tb262144__v047\", \"oracle_delta\": 1.24797159... | {
"index": "lambada_openai__4ad5aa20__s015__tb262144__v047",
"uid": "lambada_openai__4ad5aa20__s015__tb262144__v047",
"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__4ad5aa20__s015__tb65536__v045\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 29625.054924340042, \"nll_base\": 10.296375732421875, \"eval_ref\": \"lambada_openai__4ad5aa20__s015__tb65536__v045\", \"oracle_delta\": 0.22117431640... | {
"index": "lambada_openai__4ad5aa20__s015__tb65536__v045",
"uid": "lambada_openai__4ad5aa20__s015__tb65536__v045",
"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__4ad5aa20__s016__tb131072__v049\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 31867.100588841757, \"nll_base\": 10.369329427083333, \"eval_ref\": \"lambada_openai__4ad5aa20__s016__tb131072__v049\", \"oracle_delta\": 0.40889892... | {
"index": "lambada_openai__4ad5aa20__s016__tb131072__v049",
"uid": "lambada_openai__4ad5aa20__s016__tb131072__v049",
"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__4ad5aa20__s016__tb65536__v048\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 31867.100588841757, \"nll_base\": 10.369329427083333, \"eval_ref\": \"lambada_openai__4ad5aa20__s016__tb65536__v048\", \"oracle_delta\": 0.09197957356... | {
"index": "lambada_openai__4ad5aa20__s016__tb65536__v048",
"uid": "lambada_openai__4ad5aa20__s016__tb65536__v048",
"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__4ad5aa20__s017__tb131072__v052\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 24272.31969790063, \"nll_base\": 10.097091872970779, \"eval_ref\": \"lambada_openai__4ad5aa20__s017__tb131072__v052\", \"oracle_delta\": 0.472088305... | {
"index": "lambada_openai__4ad5aa20__s017__tb131072__v052",
"uid": "lambada_openai__4ad5aa20__s017__tb131072__v052",
"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__4ad5aa20__s017__tb262144__v053\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 24272.31969790063, \"nll_base\": 10.097091872970779, \"eval_ref\": \"lambada_openai__4ad5aa20__s017__tb262144__v053\", \"oracle_delta\": 1.214340011... | {
"index": "lambada_openai__4ad5aa20__s017__tb262144__v053",
"uid": "lambada_openai__4ad5aa20__s017__tb262144__v053",
"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__4ad5aa20__s018__tb131072__v055\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 40278.741460186284, \"nll_base\": 10.6035791015625, \"eval_ref\": \"lambada_openai__4ad5aa20__s018__tb131072__v055\", \"oracle_delta\": 0.4485201009... | {
"index": "lambada_openai__4ad5aa20__s018__tb131072__v055",
"uid": "lambada_openai__4ad5aa20__s018__tb131072__v055",
"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__4ad5aa20__s018__tb65536__v054\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 40278.741460186284, \"nll_base\": 10.6035791015625, \"eval_ref\": \"lambada_openai__4ad5aa20__s018__tb65536__v054\", \"oracle_delta\": 0.1875850423177... | {
"index": "lambada_openai__4ad5aa20__s018__tb65536__v054",
"uid": "lambada_openai__4ad5aa20__s018__tb65536__v054",
"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__4ad5aa20__s021__tb131072__v064\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 20134.371078692024, \"nll_base\": 9.910183637570112, \"eval_ref\": \"lambada_openai__4ad5aa20__s021__tb131072__v064\", \"oracle_delta\": 0.523285694... | {
"index": "lambada_openai__4ad5aa20__s021__tb131072__v064",
"uid": "lambada_openai__4ad5aa20__s021__tb131072__v064",
"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__4ad5aa20__s021__tb262144__v065\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 20134.371078692024, \"nll_base\": 9.910183637570112, \"eval_ref\": \"lambada_openai__4ad5aa20__s021__tb262144__v065\", \"oracle_delta\": 1.285441863... | {
"index": "lambada_openai__4ad5aa20__s021__tb262144__v065",
"uid": "lambada_openai__4ad5aa20__s021__tb262144__v065",
"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__4ad5aa20__s021__tb65536__v063\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 20134.371078692024, \"nll_base\": 9.910183637570112, \"eval_ref\": \"lambada_openai__4ad5aa20__s021__tb65536__v063\", \"oracle_delta\": 0.128223125751... | {
"index": "lambada_openai__4ad5aa20__s021__tb65536__v063",
"uid": "lambada_openai__4ad5aa20__s021__tb65536__v063",
"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__4ad5aa20__s023__tb131072__v070\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 38663.99298084149, \"nll_base\": 10.562664031982422, \"eval_ref\": \"lambada_openai__4ad5aa20__s023__tb131072__v070\", \"oracle_delta\": 0.634741465... | {
"index": "lambada_openai__4ad5aa20__s023__tb131072__v070",
"uid": "lambada_openai__4ad5aa20__s023__tb131072__v070",
"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__4ad5aa20__s023__tb262144__v071\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 38663.99298084149, \"nll_base\": 10.562664031982422, \"eval_ref\": \"lambada_openai__4ad5aa20__s023__tb262144__v071\", \"oracle_delta\": 1.231556786... | {
"index": "lambada_openai__4ad5aa20__s023__tb262144__v071",
"uid": "lambada_openai__4ad5aa20__s023__tb262144__v071",
"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__4ad5aa20__s023__tb65536__v069\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 38663.99298084149, \"nll_base\": 10.562664031982422, \"eval_ref\": \"lambada_openai__4ad5aa20__s023__tb65536__v069\", \"oracle_delta\": 0.270300547281... | {
"index": "lambada_openai__4ad5aa20__s023__tb65536__v069",
"uid": "lambada_openai__4ad5aa20__s023__tb65536__v069",
"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__4ad5aa20__s024__tb131072__v073\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 55778.1884295743, \"nll_base\": 10.92913818359375, \"eval_ref\": \"lambada_openai__4ad5aa20__s024__tb131072__v073\", \"oracle_delta\": 0.42238507952... | {
"index": "lambada_openai__4ad5aa20__s024__tb131072__v073",
"uid": "lambada_openai__4ad5aa20__s024__tb131072__v073",
"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__4ad5aa20__s024__tb262144__v074\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 55778.1884295743, \"nll_base\": 10.92913818359375, \"eval_ref\": \"lambada_openai__4ad5aa20__s024__tb262144__v074\", \"oracle_delta\": 1.20676443917... | {
"index": "lambada_openai__4ad5aa20__s024__tb262144__v074",
"uid": "lambada_openai__4ad5aa20__s024__tb262144__v074",
"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__4ad5aa20__s024__tb65536__v072\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 55778.1884295743, \"nll_base\": 10.92913818359375, \"eval_ref\": \"lambada_openai__4ad5aa20__s024__tb65536__v072\", \"oracle_delta\": 0.13751743861607... | {
"index": "lambada_openai__4ad5aa20__s024__tb65536__v072",
"uid": "lambada_openai__4ad5aa20__s024__tb65536__v072",
"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__4ad5aa20__s025__tb262144__v077\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 31848.6614723555, \"nll_base\": 10.368750634131494, \"eval_ref\": \"lambada_openai__4ad5aa20__s025__tb262144__v077\", \"oracle_delta\": 0.6839635279... | {
"index": "lambada_openai__4ad5aa20__s025__tb262144__v077",
"uid": "lambada_openai__4ad5aa20__s025__tb262144__v077",
"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__4ad5aa20__s026__tb131072__v079\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 73108.01766141073, \"nll_base\": 11.199693320454031, \"eval_ref\": \"lambada_openai__4ad5aa20__s026__tb131072__v079\", \"oracle_delta\": 0.376297218... | {
"index": "lambada_openai__4ad5aa20__s026__tb131072__v079",
"uid": "lambada_openai__4ad5aa20__s026__tb131072__v079",
"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__4ad5aa20__s026__tb262144__v080\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 73108.01766141073, \"nll_base\": 11.199693320454031, \"eval_ref\": \"lambada_openai__4ad5aa20__s026__tb262144__v080\", \"oracle_delta\": 0.905146059... | {
"index": "lambada_openai__4ad5aa20__s026__tb262144__v080",
"uid": "lambada_openai__4ad5aa20__s026__tb262144__v080",
"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__4ad5aa20__s029__tb262144__v089\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 24630.236018428204, \"nll_base\": 10.111730073627673, \"eval_ref\": \"lambada_openai__4ad5aa20__s029__tb262144__v089\", \"oracle_delta\": 0.85880480... | {
"index": "lambada_openai__4ad5aa20__s029__tb262144__v089",
"uid": "lambada_openai__4ad5aa20__s029__tb262144__v089",
"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__4ad5aa20__s032__tb262144__v098\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 23839.758592838534, \"nll_base\": 10.079109994988693, \"eval_ref\": \"lambada_openai__4ad5aa20__s032__tb262144__v098\", \"oracle_delta\": 0.92507372... | {
"index": "lambada_openai__4ad5aa20__s032__tb262144__v098",
"uid": "lambada_openai__4ad5aa20__s032__tb262144__v098",
"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__4ad5aa20__s033__tb131072__v100\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 16816.9228115358, \"nll_base\": 9.730140968605324, \"eval_ref\": \"lambada_openai__4ad5aa20__s033__tb131072__v100\", \"oracle_delta\": 0.26117583851... | {
"index": "lambada_openai__4ad5aa20__s033__tb131072__v100",
"uid": "lambada_openai__4ad5aa20__s033__tb131072__v100",
"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__4ad5aa20__s033__tb262144__v101\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 16816.9228115358, \"nll_base\": 9.730140968605324, \"eval_ref\": \"lambada_openai__4ad5aa20__s033__tb262144__v101\", \"oracle_delta\": 0.95232325424... | {
"index": "lambada_openai__4ad5aa20__s033__tb262144__v101",
"uid": "lambada_openai__4ad5aa20__s033__tb262144__v101",
"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__4ad5aa20__s036__tb131072__v109\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 32910.69973528195, \"nll_base\": 10.401553103798314, \"eval_ref\": \"lambada_openai__4ad5aa20__s036__tb131072__v109\", \"oracle_delta\": 0.486279537... | {
"index": "lambada_openai__4ad5aa20__s036__tb131072__v109",
"uid": "lambada_openai__4ad5aa20__s036__tb131072__v109",
"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__4ad5aa20__s036__tb262144__v110\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 32910.69973528195, \"nll_base\": 10.401553103798314, \"eval_ref\": \"lambada_openai__4ad5aa20__s036__tb262144__v110\", \"oracle_delta\": 1.174049377... | {
"index": "lambada_openai__4ad5aa20__s036__tb262144__v110",
"uid": "lambada_openai__4ad5aa20__s036__tb262144__v110",
"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__4ad5aa20__s036__tb65536__v108\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 32910.69973528195, \"nll_base\": 10.401553103798314, \"eval_ref\": \"lambada_openai__4ad5aa20__s036__tb65536__v108\", \"oracle_delta\": 0.125430860017... | {
"index": "lambada_openai__4ad5aa20__s036__tb65536__v108",
"uid": "lambada_openai__4ad5aa20__s036__tb65536__v108",
"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__4ad5aa20__s037__tb131072__v112\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 32944.27022652055, \"nll_base\": 10.402572631835938, \"eval_ref\": \"lambada_openai__4ad5aa20__s037__tb131072__v112\", \"oracle_delta\": 0.374371980... | {
"index": "lambada_openai__4ad5aa20__s037__tb131072__v112",
"uid": "lambada_openai__4ad5aa20__s037__tb131072__v112",
"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__4ad5aa20__s037__tb262144__v113\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 32944.27022652055, \"nll_base\": 10.402572631835938, \"eval_ref\": \"lambada_openai__4ad5aa20__s037__tb262144__v113\", \"oracle_delta\": 0.906999688... | {
"index": "lambada_openai__4ad5aa20__s037__tb262144__v113",
"uid": "lambada_openai__4ad5aa20__s037__tb262144__v113",
"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__4ad5aa20__s039__tb262144__v119\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 16442.22424187048, \"nll_base\": 9.707607953976362, \"eval_ref\": \"lambada_openai__4ad5aa20__s039__tb262144__v119\", \"oracle_delta\": 0.7499323135... | {
"index": "lambada_openai__4ad5aa20__s039__tb262144__v119",
"uid": "lambada_openai__4ad5aa20__s039__tb262144__v119",
"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__4ad5aa20__s041__tb262144__v125\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 11701.895003037938, \"nll_base\": 9.367506073742378, \"eval_ref\": \"lambada_openai__4ad5aa20__s041__tb262144__v125\", \"oracle_delta\": 1.033407816... | {
"index": "lambada_openai__4ad5aa20__s041__tb262144__v125",
"uid": "lambada_openai__4ad5aa20__s041__tb262144__v125",
"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__4ad5aa20__s041__tb65536__v123\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 11701.895003037938, \"nll_base\": 9.367506073742378, \"eval_ref\": \"lambada_openai__4ad5aa20__s041__tb65536__v123\", \"oracle_delta\": 0.088689292349... | {
"index": "lambada_openai__4ad5aa20__s041__tb65536__v123",
"uid": "lambada_openai__4ad5aa20__s041__tb65536__v123",
"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__4ad5aa20__s042__tb131072__v127\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 28431.21892853973, \"nll_base\": 10.255243078454749, \"eval_ref\": \"lambada_openai__4ad5aa20__s042__tb131072__v127\", \"oracle_delta\": 0.300961581... | {
"index": "lambada_openai__4ad5aa20__s042__tb131072__v127",
"uid": "lambada_openai__4ad5aa20__s042__tb131072__v127",
"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__4ad5aa20__s042__tb262144__v128\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 28431.21892853973, \"nll_base\": 10.255243078454749, \"eval_ref\": \"lambada_openai__4ad5aa20__s042__tb262144__v128\", \"oracle_delta\": 1.067734755... | {
"index": "lambada_openai__4ad5aa20__s042__tb262144__v128",
"uid": "lambada_openai__4ad5aa20__s042__tb262144__v128",
"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__4ad5aa20__s043__tb131072__v130\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 15176.085919111143, \"nll_base\": 9.627476173111155, \"eval_ref\": \"lambada_openai__4ad5aa20__s043__tb131072__v130\", \"oracle_delta\": 0.529699011... | {
"index": "lambada_openai__4ad5aa20__s043__tb131072__v130",
"uid": "lambada_openai__4ad5aa20__s043__tb131072__v130",
"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__4ad5aa20__s043__tb262144__v131\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 15176.085919111143, \"nll_base\": 9.627476173111155, \"eval_ref\": \"lambada_openai__4ad5aa20__s043__tb262144__v131\", \"oracle_delta\": 1.139960180... | {
"index": "lambada_openai__4ad5aa20__s043__tb262144__v131",
"uid": "lambada_openai__4ad5aa20__s043__tb262144__v131",
"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__4ad5aa20__s043__tb65536__v129\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 15176.085919111143, \"nll_base\": 9.627476173111155, \"eval_ref\": \"lambada_openai__4ad5aa20__s043__tb65536__v129\", \"oracle_delta\": 0.205449744115... | {
"index": "lambada_openai__4ad5aa20__s043__tb65536__v129",
"uid": "lambada_openai__4ad5aa20__s043__tb65536__v129",
"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__4ad5aa20__s045__tb131072__v136\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 17946.28129279883, \"nll_base\": 9.795138202136076, \"eval_ref\": \"lambada_openai__4ad5aa20__s045__tb131072__v136\", \"oracle_delta\": 0.5596572296... | {
"index": "lambada_openai__4ad5aa20__s045__tb131072__v136",
"uid": "lambada_openai__4ad5aa20__s045__tb131072__v136",
"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__4ad5aa20__s045__tb262144__v137\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 17946.28129279883, \"nll_base\": 9.795138202136076, \"eval_ref\": \"lambada_openai__4ad5aa20__s045__tb262144__v137\", \"oracle_delta\": 1.0114776997... | {
"index": "lambada_openai__4ad5aa20__s045__tb262144__v137",
"uid": "lambada_openai__4ad5aa20__s045__tb262144__v137",
"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__4ad5aa20__s045__tb65536__v135\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 17946.28129279883, \"nll_base\": 9.795138202136076, \"eval_ref\": \"lambada_openai__4ad5aa20__s045__tb65536__v135\", \"oracle_delta\": 0.1737354133702... | {
"index": "lambada_openai__4ad5aa20__s045__tb65536__v135",
"uid": "lambada_openai__4ad5aa20__s045__tb65536__v135",
"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__4ad5aa20__s046__tb131072__v139\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 20831.86849714314, \"nll_base\": 9.94423923244724, \"eval_ref\": \"lambada_openai__4ad5aa20__s046__tb131072__v139\", \"oracle_delta\": 0.65155584161... | {
"index": "lambada_openai__4ad5aa20__s046__tb131072__v139",
"uid": "lambada_openai__4ad5aa20__s046__tb131072__v139",
"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__4ad5aa20__s046__tb262144__v140\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 20831.86849714314, \"nll_base\": 9.94423923244724, \"eval_ref\": \"lambada_openai__4ad5aa20__s046__tb262144__v140\", \"oracle_delta\": 1.38625583400... | {
"index": "lambada_openai__4ad5aa20__s046__tb262144__v140",
"uid": "lambada_openai__4ad5aa20__s046__tb262144__v140",
"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__4ad5aa20__s046__tb65536__v138\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 20831.86849714314, \"nll_base\": 9.94423923244724, \"eval_ref\": \"lambada_openai__4ad5aa20__s046__tb65536__v138\", \"oracle_delta\": 0.26898312259029... | {
"index": "lambada_openai__4ad5aa20__s046__tb65536__v138",
"uid": "lambada_openai__4ad5aa20__s046__tb65536__v138",
"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__4ad5aa20__s048__tb131072__v145\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 42553.07778181394, \"nll_base\": 10.658507464683218, \"eval_ref\": \"lambada_openai__4ad5aa20__s048__tb131072__v145\", \"oracle_delta\": 0.335958402... | {
"index": "lambada_openai__4ad5aa20__s048__tb131072__v145",
"uid": "lambada_openai__4ad5aa20__s048__tb131072__v145",
"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__4ad5aa20__s049__tb65536__v147\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 8178.517012893296, \"nll_base\": 9.009266118893677, \"eval_ref\": \"lambada_openai__4ad5aa20__s049__tb65536__v147\", \"oracle_delta\": 0.0678798631690... | {
"index": "lambada_openai__4ad5aa20__s049__tb65536__v147",
"uid": "lambada_openai__4ad5aa20__s049__tb65536__v147",
"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__4ad5aa20__s050__tb262144__v152\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 14837.549027456704, \"nll_base\": 9.604916343206092, \"eval_ref\": \"lambada_openai__4ad5aa20__s050__tb262144__v152\", \"oracle_delta\": 0.828902618... | {
"index": "lambada_openai__4ad5aa20__s050__tb262144__v152",
"uid": "lambada_openai__4ad5aa20__s050__tb262144__v152",
"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__s000__tb131072__v002\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 59123.31160634516, \"nll_base\": 10.987380569045609, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s000__tb131072__v002\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s000__tb131072__v002",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s000__tb131072__v002",
"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__s000__tb262144__v000\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 59123.31160634516, \"nll_base\": 10.987380569045609, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s000__tb262144__v000\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s000__tb262144__v000",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s000__tb262144__v000",
"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__s000__tb65536__v001\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 59123.31160634516, \"nll_base\": 10.987380569045609, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s000__tb65536__v001\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s000__tb65536__v001",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s000__tb65536__v001",
"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__s001__tb131072__v005\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 159854.03989028215, \"nll_base\": 11.982016427176339, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s001__tb131072__v005\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s001__tb131072__v005",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s001__tb131072__v005",
"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__s001__tb262144__v003\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 159854.03989028215, \"nll_base\": 11.982016427176339, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s001__tb262144__v003\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s001__tb262144__v003",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s001__tb262144__v003",
"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__s001__tb65536__v004\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 159854.03989028215, \"nll_base\": 11.982016427176339, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s001__tb65536__v004\", \"oracle_... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s001__tb65536__v004",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s001__tb65536__v004",
"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__s002__tb262144__v006\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 23191.49370935482, \"nll_base\": 10.051540839962843, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s002__tb262144__v006\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s002__tb262144__v006",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s002__tb262144__v006",
"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__s003__tb131072__v011\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 42205.08125273637, \"nll_base\": 10.650295901608157, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s003__tb131072__v011\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s003__tb131072__v011",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s003__tb131072__v011",
"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__s003__tb262144__v009\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 42205.08125273637, \"nll_base\": 10.650295901608157, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s003__tb262144__v009\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s003__tb262144__v009",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s003__tb262144__v009",
"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__s003__tb65536__v010\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 42205.08125273637, \"nll_base\": 10.650295901608157, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s003__tb65536__v010\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s003__tb65536__v010",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s003__tb65536__v010",
"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__s004__tb131072__v014\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 45131.990282855484, \"nll_base\": 10.71734659295333, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s004__tb131072__v014\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s004__tb131072__v014",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s004__tb131072__v014",
"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__s004__tb262144__v012\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 45131.990282855484, \"nll_base\": 10.71734659295333, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s004__tb262144__v012\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s004__tb262144__v012",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s004__tb262144__v012",
"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__s005__tb131072__v017\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 37990.13510710284, \"nll_base\": 10.545081802561313, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s005__tb131072__v017\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s005__tb131072__v017",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s005__tb131072__v017",
"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__s005__tb262144__v015\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 37990.13510710284, \"nll_base\": 10.545081802561313, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s005__tb262144__v015\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s005__tb262144__v015",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s005__tb262144__v015",
"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__s005__tb65536__v016\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 37990.13510710284, \"nll_base\": 10.545081802561313, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s005__tb65536__v016\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s005__tb65536__v016",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s005__tb65536__v016",
"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__s006__tb262144__v018\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 56084.69998775678, \"nll_base\": 10.934618326822916, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s006__tb262144__v018\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s006__tb262144__v018",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s006__tb262144__v018",
"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__s007__tb131072__v023\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 70129.98998114532, \"nll_base\": 11.158105798669764, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s007__tb131072__v023\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s007__tb131072__v023",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s007__tb131072__v023",
"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__s007__tb262144__v021\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 70129.98998114532, \"nll_base\": 11.158105798669764, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s007__tb262144__v021\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s007__tb262144__v021",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s007__tb262144__v021",
"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__s007__tb65536__v022\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 70129.98998114532, \"nll_base\": 11.158105798669764, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s007__tb65536__v022\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s007__tb65536__v022",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s007__tb65536__v022",
"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__s008__tb262144__v024\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 134419.0703442125, \"nll_base\": 11.808717589447463, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s008__tb262144__v024\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s008__tb262144__v024",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s008__tb262144__v024",
"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__s009__tb131072__v029\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 22292.102724232427, \"nll_base\": 10.011987756799769, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s009__tb131072__v029\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s009__tb131072__v029",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s009__tb131072__v029",
"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__s009__tb262144__v027\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 22292.102724232427, \"nll_base\": 10.011987756799769, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s009__tb262144__v027\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s009__tb262144__v027",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s009__tb262144__v027",
"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__s010__tb131072__v032\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 19531.86326772202, \"nll_base\": 9.879802424733231, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s010__tb131072__v032\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s010__tb131072__v032",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s010__tb131072__v032",
"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__s010__tb262144__v030\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 19531.86326772202, \"nll_base\": 9.879802424733231, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s010__tb262144__v030\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s010__tb262144__v030",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s010__tb262144__v030",
"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__s011__tb131072__v035\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 89894.83860681513, \"nll_base\": 11.406395806206596, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s011__tb131072__v035\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s011__tb131072__v035",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s011__tb131072__v035",
"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__s011__tb262144__v033\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 89894.83860681513, \"nll_base\": 11.406395806206596, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s011__tb262144__v033\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s011__tb262144__v033",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s011__tb262144__v033",
"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__s012__tb131072__v038\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 50930.34897703452, \"nll_base\": 10.838214271946958, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s012__tb131072__v038\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s012__tb131072__v038",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s012__tb131072__v038",
"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__s012__tb262144__v036\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 50930.34897703452, \"nll_base\": 10.838214271946958, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s012__tb262144__v036\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s012__tb262144__v036",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s012__tb262144__v036",
"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__s013__tb131072__v041\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 51137.17081526241, \"nll_base\": 10.842266924969561, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s013__tb131072__v041\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s013__tb131072__v041",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s013__tb131072__v041",
"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__s013__tb262144__v039\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 51137.17081526241, \"nll_base\": 10.842266924969561, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s013__tb262144__v039\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s013__tb262144__v039",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s013__tb262144__v039",
"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__s014__tb131072__v044\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 57749.17907749639, \"nll_base\": 10.963864413174717, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s014__tb131072__v044\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s014__tb131072__v044",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s014__tb131072__v044",
"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__s014__tb262144__v042\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 57749.17907749639, \"nll_base\": 10.963864413174717, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s014__tb262144__v042\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s014__tb262144__v042",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s014__tb262144__v042",
"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__s015__tb131072__v047\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 54410.23594887714, \"nll_base\": 10.904307575968954, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s015__tb131072__v047\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s015__tb131072__v047",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s015__tb131072__v047",
"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__s015__tb262144__v045\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 54410.23594887714, \"nll_base\": 10.904307575968954, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s015__tb262144__v045\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s015__tb262144__v045",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s015__tb262144__v045",
"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__s016__tb131072__v050\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 23822.44024597811, \"nll_base\": 10.078383282917303, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s016__tb131072__v050\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s016__tb131072__v050",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s016__tb131072__v050",
"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__s016__tb262144__v048\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 23822.44024597811, \"nll_base\": 10.078383282917303, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s016__tb262144__v048\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s016__tb262144__v048",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s016__tb262144__v048",
"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__s017__tb262144__v051\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 56773.209001022034, \"nll_base\": 10.946819820919552, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s017__tb262144__v051\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s017__tb262144__v051",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s017__tb262144__v051",
"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__s018__tb131072__v056\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 54290.512217376534, \"nll_base\": 10.902104761693385, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s018__tb131072__v056\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s018__tb131072__v056",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s018__tb131072__v056",
"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__s018__tb262144__v054\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 54290.512217376534, \"nll_base\": 10.902104761693385, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s018__tb262144__v054\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s018__tb262144__v054",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s018__tb262144__v054",
"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__s019__tb131072__v059\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 65025.71973617189, \"nll_base\": 11.082538158862622, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s019__tb131072__v059\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s019__tb131072__v059",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s019__tb131072__v059",
"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__s019__tb262144__v057\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 65025.71973617189, \"nll_base\": 11.082538158862622, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s019__tb262144__v057\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s019__tb262144__v057",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s019__tb262144__v057",
"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__s019__tb65536__v058\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 65025.71973617189, \"nll_base\": 11.082538158862622, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s019__tb65536__v058\", \"oracle_d... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s019__tb65536__v058",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s019__tb65536__v058",
"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__s020__tb131072__v062\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 61423.34137307973, \"nll_base\": 11.025545194551542, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s020__tb131072__v062\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s020__tb131072__v062",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s020__tb131072__v062",
"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__s020__tb262144__v060\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 61423.34137307973, \"nll_base\": 11.025545194551542, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s020__tb262144__v060\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s020__tb262144__v060",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s020__tb262144__v060",
"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__s022__tb131072__v068\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 111010.67265365661, \"nll_base\": 11.617381625705296, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s022__tb131072__v068\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s022__tb131072__v068",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s022__tb131072__v068",
"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__s022__tb262144__v066\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 111010.67265365661, \"nll_base\": 11.617381625705296, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s022__tb262144__v066\", \"orac... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s022__tb262144__v066",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s022__tb262144__v066",
"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__s023__tb262144__v069\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 90873.43593773682, \"nll_base\": 11.417223003548635, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s023__tb262144__v069\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s023__tb262144__v069",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s023__tb262144__v069",
"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__s024__tb262144__v072\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 23490.74867047969, \"nll_base\": 10.064361949025848, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s024__tb262144__v072\", \"oracl... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s024__tb262144__v072",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s024__tb262144__v072",
"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__s025__tb131072__v077\", \"budget\": 2048, \"token_budget\": 131072, \"ppl_base\": 72523.3004709659, \"nll_base\": 11.191663175015837, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s025__tb131072__v077\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s025__tb131072__v077",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s025__tb131072__v077",
"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__s025__tb262144__v075\", \"budget\": 2048, \"token_budget\": 262144, \"ppl_base\": 72523.3004709659, \"nll_base\": 11.191663175015837, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s025__tb262144__v075\", \"oracle... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s025__tb262144__v075",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s025__tb262144__v075",
"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__s025__tb65536__v076\", \"budget\": 2048, \"token_budget\": 65536, \"ppl_base\": 72523.3004709659, \"nll_base\": 11.191663175015837, \"eval_ref\": \"lambada_openai_cloze_yaml__5c8f8625__s025__tb65536__v076\", \"oracle_de... | {
"index": "lambada_openai_cloze_yaml__5c8f8625__s025__tb65536__v076",
"uid": "lambada_openai_cloze_yaml__5c8f8625__s025__tb65536__v076",
"axis": "domain_ppl",
"budget": 2048,
"token_budget": 65536,
"variant": "filter"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.