diff --git a/task/main/README.md b/task/main/README.md index 07b38a68d75d15b41cfab6074ff26b73ad6a546d..4ab9a78b02fe3c186fcd9a708c74323e801175c0 100644 --- a/task/main/README.md +++ b/task/main/README.md @@ -20,12 +20,18 @@ main/ │ │ ├── logs/ │ │ │ ├── main_eng-ita_no_highlight_t1_logs.csv │ │ │ └── ... # GroTE logs for every translator (e.g. no_highlight_t1) +│ │ ├── metrics/ +│ │ │ ├── main_eng-ita_no_highlight_t1_metrics.csv +│ │ │ └── ... # Metrics for every translator (e.g. t1) │ │ ├── main_eng-ita_doc1_no_highlight_t1_output.txt │ │ └── ... # GroTE output files (one edited target per line) │ └── eng-nld/ │ ├── logs/ │ │ ├── main_eng-nld_no_highlight_t1_logs.csv │ │ └── ... # GroTE logs for every translator (e.g. no_highlight_t1) +│ ├── metrics/ +│ │ ├── main_eng-nld_no_highlight_t1_metrics.csv +│ │ └── ... # Metrics for every translator (e.g. t1) │ ├── example_eng-nld_doc1_no_highlight_t1_output.txt │ └── ... # GroTE output files (one edited target per line) ├── doc_id_map.json # Source and doc name maps @@ -71,4 +77,16 @@ The contents of `outputs/{{TRANSLATION_DIRECTION}}/logs` can be used to analyze "{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{TRANSLATOR_ID}}_logs.csv" ``` -Refer to [GroTE](https://github.com/gsarti/grote) documentation for more information about the logs. \ No newline at end of file +Refer to [GroTE](https://github.com/gsarti/grote) documentation for more information about the logs. + +The contents of `outputs/{{TRANSLATION_DIRECTION}}/metrics` contain aggregated metrics for each translator, with name format: + +```python +"{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{TRANSLATOR_ID}}_metrics.csv" +``` + +Metrics include: + +1. max/min/mean/std of BLEU, chrF, TER and COMET scores computed between the MT or the PE texts and all (other, in case of PE) post-edited variants of the same segment for `{{TRANSLATION_DIRECTION}}`. + +2. XCOMET-XXL segment-level QE scores and errors for the MT and PE texts. diff --git a/task/main/outputs/eng-ita/metrics/main_eng-ita_no_highlight_t1_metrics.json b/task/main/outputs/eng-ita/metrics/main_eng-ita_no_highlight_t1_metrics.json new file mode 100644 index 0000000000000000000000000000000000000000..6065201e2895c61cb522d44f625f943328acdd41 --- /dev/null +++ b/task/main/outputs/eng-ita/metrics/main_eng-ita_no_highlight_t1_metrics.json @@ -0,0 +1,19565 @@ +{ + "1": { + "1": { + "mt_bleu_max": 100.0, + "mt_bleu_min": 33.284, + "mt_bleu_mean": 77.298, + "mt_bleu_std": 20.268, + "mt_chrf_max": 100.0, + "mt_chrf_min": 68.874, + "mt_chrf_mean": 88.323, + "mt_chrf_std": 10.08, + "mt_ter_max": 58.065, + "mt_ter_min": 0.0, + "mt_ter_mean": 17.36, + "mt_ter_std": 17.725, + "mt_comet_max": 0.97, + "mt_comet_min": 0.921, + "mt_comet_mean": 0.952, + "mt_comet_std": 0.016, + "pe_bleu_max": 100.0, + "pe_bleu_min": 33.284, + "pe_bleu_mean": 75.235, + "pe_bleu_std": 19.926, + "pe_chrf_max": 100.0, + "pe_chrf_min": 68.874, + "pe_chrf_mean": 87.261, + "pe_chrf_std": 9.865, + "pe_ter_max": 58.065, + "pe_ter_min": 0.0, + "pe_ter_mean": 18.938, + "pe_ter_std": 17.688, + "pe_comet_max": 0.97, + "pe_comet_min": 0.921, + "pe_comet_mean": 0.951, + "pe_comet_std": 0.015, + "xcomet_mt": 1.0, + "xcomet_pe": 1.0, + "xcomet_mt_errors": null, + "xcomet_pe_errors": null + }, + "2": { + "mt_bleu_max": 100.0, + "mt_bleu_min": 56.479, + "mt_bleu_mean": 84.482, + "mt_bleu_std": 12.12, + "mt_chrf_max": 100.0, + "mt_chrf_min": 77.692, + "mt_chrf_mean": 90.916, + "mt_chrf_std": 6.709, + "mt_ter_max": 30.909, + "mt_ter_min": 0.0, + "mt_ter_mean": 9.035, + "mt_ter_std": 8.468, + "mt_comet_max": 0.926, + "mt_comet_min": 0.882, + "mt_comet_mean": 0.902, + "mt_comet_std": 0.015, + "pe_bleu_max": 100.0, + "pe_bleu_min": 56.479, + "pe_bleu_mean": 83.072, + "pe_bleu_std": 11.678, + "pe_chrf_max": 100.0, + "pe_chrf_min": 77.692, + "pe_chrf_mean": 90.09, + "pe_chrf_std": 6.397, + "pe_ter_max": 30.909, + 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+ ], + "xcomet_pe_errors": [ + { + "text": "bij de analyse", + "confidence": 0.705, + "severity": "major", + "start": 122, + "end": 137 + } + ] + } + } +} \ No newline at end of file diff --git a/task/pretask/README.md b/task/pretask/README.md index 336729d32fef4887798105b5a239b503483af620..b0a07e12bf12d4aef423b816077ac288ad0c69f5 100644 --- a/task/pretask/README.md +++ b/task/pretask/README.md @@ -20,12 +20,18 @@ pretask/ │ │ ├── logs/ │ │ │ ├── pretask_eng-ita_t1_logs.csv │ │ │ └── ... # GroTE logs for every translator (e.g. t1) +│ │ ├── metrics/ +│ │ │ ├── pretask_eng-ita_t1_metrics.csv +│ │ │ └── ... # Metrics for every translator (e.g. t1) │ │ ├── pretask_eng-ita_doc1_t1_output.txt │ │ └── ... # GroTE output files (one edited target per line) │ └── eng-nld/ │ ├── logs/ │ │ ├── pretask_eng-nld_t1_logs.csv │ │ └── ... # GroTE logs for every translator (e.g. t1) +│ ├── metrics/ +│ │ ├── pretask_eng-nld_t1_metrics.csv +│ │ └── ... # Metrics for every translator (e.g. t1) │ ├── example_eng-nld_doc1_t1_output.txt │ └── ... # GroTE output files (one post-edited segment per line) ├── doc_id_map.json # Source and doc name maps @@ -107,3 +113,15 @@ The contents of `outputs/{{TRANSLATION_DIRECTION}}/logs` can be used to analyze ``` Refer to [GroTE](https://github.com/gsarti/grote) documentation for more information about the logs. + +The contents of `outputs/{{TRANSLATION_DIRECTION}}/metrics` contain aggregated metrics for each translator, with name format: + +```python +"{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{TRANSLATOR_ID}}_metrics.csv" +``` + +Metrics include: + +1. max/min/mean/std of BLEU, chrF, TER and COMET scores computed between the MT or the PE texts and all (other, in case of PE) post-edited variants of the same segment for `{{TRANSLATION_DIRECTION}}`. + +2. XCOMET-XXL segment-level QE scores and errors for the MT and PE texts. diff --git a/task/pretask/outputs/eng-ita/metrics/pretask_eng-ita_t10_metrics.json b/task/pretask/outputs/eng-ita/metrics/pretask_eng-ita_t10_metrics.json new file mode 100644 index 0000000000000000000000000000000000000000..03c8d9b2acb2bb4966e325c515e8a442078d7b29 --- /dev/null +++ b/task/pretask/outputs/eng-ita/metrics/pretask_eng-ita_t10_metrics.json @@ -0,0 +1,2161 @@ +{ + "1": { + "1": { + "mt_bleu_max": 80.569, + "mt_bleu_min": 30.143, + "mt_bleu_mean": 51.628, + "mt_bleu_std": 15.843, + "mt_chrf_max": 92.538, + "mt_chrf_min": 48.321, + "mt_chrf_mean": 73.827, + "mt_chrf_std": 12.221, + "mt_ter_max": 52.174, + "mt_ter_min": 10.526, + "mt_ter_mean": 31.391, + "mt_ter_std": 13.94, + "mt_comet_max": 0.882, + "mt_comet_min": 0.73, + "mt_comet_mean": 0.791, + "mt_comet_std": 0.05, + "pe_bleu_max": 61.794, + "pe_bleu_min": 27.041, + "pe_bleu_mean": 43.356, + "pe_bleu_std": 10.395, + "pe_chrf_max": 84.001, + 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