Datasets:
Update README.md
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README.md
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@@ -116,42 +116,67 @@ The following fields are contained in the training set:
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The `train` split contains the totality of triplets (or pairs, when translation from scratch is performed) annotated with behavioral data produced during the translation.
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The following is an example of the subject `
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```json
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}
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```
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The `train` split contains the totality of triplets (or pairs, when translation from scratch is performed) annotated with behavioral data produced during the translation.
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The following is an example of the subject `t1` post-editing a machine translation produced by Google Translate (task_type `pe1`) taken from the `train` split for Turkish. The field `aligned_edit` is showed over three lines to provide a visual understanding of its contents.
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```json
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{
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'unit_id': 'flores101-main-tur-46-pe1-3',
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'flores_id': 871,
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'item_id': 'flores101-main-463',
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'subject_id': 'tur_t1',
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'task_type': 'pe1',
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'translation_type': 'pe',
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'src_len_chr': 109,
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'mt_len_chr': 129.0,
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'tgt_len_chr': 120,
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'src_len_wrd': 17,
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'mt_len_wrd': 15.0,
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'tgt_len_wrd': 13,
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'edit_time': 11.762999534606934,
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'k_total': 31,
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'k_letter': 9,
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'k_digit': 0,
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'k_white': 0,
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'k_symbol': 0,
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'k_nav': 20,
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'k_erase': 2,
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'k_copy': 0,
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'k_cut': 0,
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'k_paste': 0,
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'k_do': 0,
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'n_pause_geq_300': 2,
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'len_pause_geq_300': 4986,
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'n_pause_geq_1000': 1,
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'len_pause_geq_1000': 4490,
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'event_time': 11763,
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'num_annotations': 2,
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'last_modification_time': 1643569484,
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'n_insert': 0.0,
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'n_delete': 2.0,
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'n_substitute': 1.0,
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'n_shift': 0.0,
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'tot_shifted_words': 0.0,
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'tot_edits': 3.0,
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'hter': 20.0,
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'bleu': 0.0,
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'chrf': 2.569999933242798,
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'lang_id': 'tur',
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'doc_id': 46,
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'time_s': 11.762999534606934,
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'time_m': 0.1960500031709671,
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'time_h': 0.0032675000838935375,
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'time_per_char': 0.1079174280166626,
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'time_per_word': 0.6919412016868591,
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'key_per_char': 0.2844036817550659,
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'words_per_hour': 5202.75439453125,
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'words_per_minute': 86.71257019042969,
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'per_subject_visit_order': 201,
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'src_text': 'As one example, American citizens in the Middle East might face different situations from Europeans or Arabs.',
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'mt_text': "Bir örnek olarak, Orta Doğu'daki Amerikan vatandaşları, Avrupalılardan veya Araplardan farklı durumlarla karşı karşıya kalabilir.",
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'tgt_text': "Örneğin, Orta Doğu'daki Amerikan vatandaşları, Avrupalılardan veya Araplardan farklı durumlarla karşı karşıya kalabilir.",
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'aligned_edit': "REF: bir örnek olarak, orta doğu'daki amerikan vatandaşları, avrupalılardan veya araplardan farklı durumlarla karşı karşıya kalabilir.\\n
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HYP: *** ***** örneğin, orta doğu'daki amerikan vatandaşları, avrupalılardan veya araplardan farklı durumlarla karşı karşıya kalabilir.\\n
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EVAL: D D S"
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}
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```
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