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dbdb56b
red pajama result
Browse files- lm-eval-output/RedPajama-INCITE-7B-Base/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +283 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +390 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +548 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +423 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +248 -0
- lm-eval-output/RedPajama-INCITE-7B-Base/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
lm-eval-output/RedPajama-INCITE-7B-Base/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz
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lm-eval-output/RedPajama-INCITE-7B-Base/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
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lm-eval-output/RedPajama-INCITE-7B-Base/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:87474ecc21f8109f1b039f37e49d45a577e1a9d22ca1cda05cd8fdd45512d25b
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size 534066
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lm-eval-output/RedPajama-INCITE-7B-Base/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
@@ -0,0 +1,390 @@
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|
1 |
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{
|
2 |
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"results": {
|
3 |
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"xcopa": {
|
4 |
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"acc,none": 0.5254545454545455,
|
5 |
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"acc_stderr,none": 0.036407165846333675,
|
6 |
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"alias": "xcopa"
|
7 |
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},
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8 |
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"xcopa_et": {
|
9 |
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"acc,none": 0.492,
|
10 |
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"acc_stderr,none": 0.022380208834928035,
|
11 |
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"alias": " - xcopa_et"
|
12 |
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},
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"xcopa_ht": {
|
14 |
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"acc,none": 0.502,
|
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"acc_stderr,none": 0.022382894986483524,
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"alias": " - xcopa_ht"
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},
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"xcopa_id": {
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19 |
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"acc,none": 0.54,
|
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"acc_stderr,none": 0.02231133324528966,
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"alias": " - xcopa_id"
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},
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"xcopa_it": {
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"acc,none": 0.604,
|
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"acc_stderr,none": 0.021893529941665813,
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"alias": " - xcopa_it"
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},
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"xcopa_qu": {
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"acc,none": 0.478,
|
30 |
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"acc_stderr,none": 0.02236139673920788,
|
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"alias": " - xcopa_qu"
|
32 |
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},
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"xcopa_sw": {
|
34 |
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"acc,none": 0.522,
|
35 |
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"acc_stderr,none": 0.02236139673920788,
|
36 |
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"alias": " - xcopa_sw"
|
37 |
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},
|
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"xcopa_ta": {
|
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"acc,none": 0.546,
|
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"acc_stderr,none": 0.02228814759117695,
|
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"alias": " - xcopa_ta"
|
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},
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"xcopa_th": {
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"acc,none": 0.532,
|
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"acc_stderr,none": 0.022337186479044292,
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"alias": " - xcopa_th"
|
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},
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"xcopa_tr": {
|
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"acc,none": 0.514,
|
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"acc_stderr,none": 0.02237429816635319,
|
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"alias": " - xcopa_tr"
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},
|
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"xcopa_vi": {
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"acc,none": 0.494,
|
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"acc_stderr,none": 0.022381462412439324,
|
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"alias": " - xcopa_vi"
|
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},
|
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"xcopa_zh": {
|
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"acc,none": 0.556,
|
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"acc_stderr,none": 0.02224224437573102,
|
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"alias": " - xcopa_zh"
|
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}
|
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},
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"groups": {
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"xcopa": {
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"acc,none": 0.5254545454545455,
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"acc_stderr,none": 0.036407165846333675,
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"alias": "xcopa"
|
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}
|
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},
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"configs": {
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"xcopa_et": {
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"task": "xcopa_et",
|
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"group": "xcopa",
|
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"dataset_path": "xcopa",
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"dataset_name": "et",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f1a7c4837e0>, connector={'cause': 'sest', 'effect': 'seetõttu'})",
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"doc_to_target": "label",
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
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"description": "",
|
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"target_delimiter": " ",
|
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"fewshot_delimiter": "\n\n",
|
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"metric_list": [
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{
|
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"metric": "acc"
|
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": false,
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"metadata": {
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"version": 1.0
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}
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},
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"xcopa_ht": {
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"task": "xcopa_ht",
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"group": "xcopa",
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"dataset_path": "xcopa",
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"dataset_name": "ht",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f1a7c3d36a0>, connector={'cause': 'poukisa', 'effect': 'donk sa'})",
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"doc_to_target": "label",
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
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{
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"metric": "acc"
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}
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],
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"output_type": "multiple_choice",
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"should_decontaminate": false,
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"metadata": {
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}
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"xcopa_id": {
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"task": "xcopa_id",
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"doc_to_target": "label",
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
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{
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"metric": "acc"
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}
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],
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"doc_to_target": "label",
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
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{
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"metric": "acc"
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},
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"task": "xcopa_qu",
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"group": "xcopa",
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"dataset_path": "xcopa",
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"dataset_name": "qu",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f1a7c3579c0>, connector={'cause': 'imataq', 'effect': 'chaymi'})",
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"doc_to_target": "label",
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
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{
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"metric": "acc"
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": false,
|
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"metadata": {
|
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"version": 1.0
|
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}
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},
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"xcopa_sw": {
|
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"task": "xcopa_sw",
|
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"group": "xcopa",
|
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"dataset_path": "xcopa",
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"dataset_name": "sw",
|
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f1a7c3d2e80>, connector={'cause': 'kwa sababu', 'effect': 'kwa hiyo'})",
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"doc_to_target": "label",
|
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
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"description": "",
|
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
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{
|
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"metric": "acc"
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}
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],
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"metadata": {
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"version": 1.0
|
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}
|
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},
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"xcopa_ta": {
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"task": "xcopa_ta",
|
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"group": "xcopa",
|
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"dataset_path": "xcopa",
|
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"dataset_name": "ta",
|
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"validation_split": "validation",
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"test_split": "test",
|
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f1a7c3d2d40>, connector={'cause': 'காரணமாக', 'effect': 'எனவே'})",
|
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"doc_to_target": "label",
|
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"doc_to_choice": "def doc_to_choice(doc):\n return [convert_choice(doc[\"choice1\"]), convert_choice(doc[\"choice2\"])]\n",
|
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"description": "",
|
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
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{
|
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"metric": "acc"
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}
|
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],
|
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"output_type": "multiple_choice",
|
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|
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"should_decontaminate": false,
|
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"metadata": {
|
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"version": 1.0
|
245 |
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}
|
246 |
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},
|
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"xcopa_th": {
|
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"task": "xcopa_th",
|
249 |
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"group": "xcopa",
|
250 |
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"dataset_path": "xcopa",
|
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"dataset_name": "th",
|
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"validation_split": "validation",
|
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"test_split": "test",
|
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7f1a7c4816c0>, connector={'cause': 'เพราะ', 'effect': 'ดังนั้น'})",
|
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"doc_to_target": "label",
|
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