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mistral results
Browse files- lm-eval-output/mistralai/Mistral-7B-v0.1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +283 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/pawsx/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +390 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xcopa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +548 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +423 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xstorycloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz +3 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +248 -0
- lm-eval-output/mistralai/Mistral-7B-v0.1/xwinograd/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
lm-eval-output/mistralai/Mistral-7B-v0.1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/result-jsonl.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:8de1ed25837c0ef688c4268edeea05b68554e5584031e26f2df1ba7a1158fe95
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size 5549113
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lm-eval-output/mistralai/Mistral-7B-v0.1/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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{
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lm-eval-output/mistralai/Mistral-7B-v0.1/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:f6c39310920af2ea38f6ca8e2618e3e964aacf7acf593ec5688e4b7951653f51
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size 644883
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lm-eval-output/mistralai/Mistral-7B-v0.1/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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{
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"results": {
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3 |
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"xcopa": {
|
4 |
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"acc,none": 0.5587272727272727,
|
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"acc_stderr,none": 0.0551636604460852,
|
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"alias": "xcopa"
|
7 |
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},
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"xcopa_et": {
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"acc,none": 0.466,
|
10 |
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"acc_stderr,none": 0.02233126442325838,
|
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": 0.512,
|
15 |
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"acc_stderr,none": 0.02237662679792717,
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"alias": " - xcopa_ht"
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},
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"xcopa_id": {
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"acc,none": 0.582,
|
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"acc_stderr,none": 0.022080014812228137,
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"alias": " - xcopa_id"
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},
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"xcopa_it": {
|
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"acc,none": 0.66,
|
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"acc_stderr,none": 0.021206117013673066,
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"alias": " - xcopa_it"
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},
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"xcopa_qu": {
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"acc,none": 0.482,
|
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"acc_stderr,none": 0.02236856511738799,
|
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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": 0.518,
|
35 |
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"acc_stderr,none": 0.02236856511738799,
|
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": 0.542,
|
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"acc_stderr,none": 0.02230396677426995,
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"alias": " - xcopa_ta"
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},
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"xcopa_th": {
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"acc,none": 0.564,
|
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"acc_stderr,none": 0.0221989546414768,
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"alias": " - xcopa_th"
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},
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"xcopa_tr": {
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"acc,none": 0.568,
|
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"acc_stderr,none": 0.02217510926561316,
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"alias": " - xcopa_tr"
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},
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"xcopa_vi": {
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"acc,none": 0.59,
|
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"acc_stderr,none": 0.022017482578127672,
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"alias": " - xcopa_vi"
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},
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"xcopa_zh": {
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"acc,none": 0.662,
|
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"acc_stderr,none": 0.021175665695209407,
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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": 0.5587272727272727,
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"acc_stderr,none": 0.0551636604460852,
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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 0x7fc298122660>, 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 0x7fc2997a3420>, 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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"repeats": 1,
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"should_decontaminate": false,
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"metadata": {
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}
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},
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"xcopa_id": {
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"task": "xcopa_id",
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"dataset_path": "xcopa",
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"dataset_name": "id",
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7fc298123560>, connector={'cause': 'karena', 'effect': 'maka'})",
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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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"should_decontaminate": false,
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},
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"task": "xcopa_it",
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7fc2997a32e0>, connector={'cause': 'perché', 'effect': 'quindi'})",
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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_name": "qu",
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"test_split": "test",
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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 0x7fc2997a36a0>, 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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"output_type": "multiple_choice",
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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_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 0x7fc298101da0>, connector={'cause': 'காரணமாக', 'effect': 'எனவே'})",
|
230 |
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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",
|
232 |
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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
|
245 |
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}
|
246 |
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},
|
247 |
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"xcopa_th": {
|
248 |
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"task": "xcopa_th",
|
249 |
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"group": "xcopa",
|
250 |
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"dataset_path": "xcopa",
|
251 |
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"dataset_name": "th",
|
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"validation_split": "validation",
|
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"test_split": "test",
|
254 |
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"doc_to_text": "functools.partial(<function doc_to_text at 0x7fc2981223e0>, connector={'cause': 'เพราะ', 'effect': 'ดังนั้น'})",
|
255 |
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"doc_to_target": "label",
|
256 |
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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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