{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/retouchdown-adding-touchdown-to-streetlearn","title":"Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View","arxiv_id":"2001.03671","date":"2020-01-10","proceeding":null,"authors":["Harsh Mehta","Yoav Artzi","Jason Baldridge","Eugene Ie","Piotr Mirowski"],"abstract":"The Touchdown dataset (Chen et al., 2019) provides instructions by human annotators for navigation through New York City streets and for resolving spatial descriptions at a given location. To enable the wider research community to work effectively with the Touchdown tasks, we are publicly releasing the 29k raw Street View panoramas needed for Touchdown. We follow the process used for the StreetLearn data release (Mirowski et al., 2019) to check panoramas for personally identifiable information and blur them as necessary. These have been added to the StreetLearn dataset and can be obtained via the same process as used previously for StreetLearn. We also provide a reference implementation for both of the Touchdown tasks: vision and language navigation (VLN) and spatial description resolution (SDR). We compare our model results to those given in Chen et al. (2019) and show that the panoramas we have added to StreetLearn fully support both Touchdown tasks and can be used effectively for further research and comparison.","url_abs":"https://arxiv.org/abs/2001.03671v1","url_pdf":"https://arxiv.org/pdf/2001.03671v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"retouchdown-adding-touchdown-to-streetlearn","repo_url":"https://github.com/google-research/valan","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"retouchdown-adding-touchdown-to-streetlearn","repo_url":"https://github.com/VegB/VLN-Transformer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"retouchdown-adding-touchdown-to-streetlearn","repo_url":"https://github.com/clic-lab/touchdown","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"CC-BY-4.0"}},{"paper_slug":"retouchdown-adding-touchdown-to-streetlearn","repo_url":"https://github.com/lil-lab/touchdown","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"vision-and-language-navigation","task_name":"Vision and Language Navigation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/vision-and-language-navigation-on-touchdown","task":"Vision and Language Navigation","dataset":"Touchdown Dataset","model":"Retouch-RConcat","rank_in_archive_order":8,"of":12,"metrics":{"Task Completion (TC)":"12.8"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2001.03671","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.03671"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/google-research/valan","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/lil-lab/touchdown","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/clic-lab/touchdown","reach":{"status":"ok","spdx":"CC-BY-4.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/VegB/VLN-Transformer","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran_draft_wrong":1,"unverified":7},"by_repo_kind":{"listed":{"samples":8,"ran":1,"repositories":2}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"ba08314f96790e8e","entry":"clones","repo":"lil-lab/touchdown","repo_kind":"listed","path":"sdr/model.py","file_url":"https://github.com/lil-lab/touchdown/blob/HEAD/sdr/model.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"CC-BY-4.0","inline_ok":false,"mcp_get_code":{"code_sha256":"ba08314f96790e8e"}},{"code_sha256_prefix":"139f055daa7f443e","entry":"attention_bias_ignore_padding","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"texar/torch/utils/transformer_attentions.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/texar/torch/utils/transformer_attentions.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"139f055daa7f443e"}},{"code_sha256_prefix":"d82c65c3c345bed8","entry":"attention_bias_local","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"texar/torch/utils/transformer_attentions.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/texar/torch/utils/transformer_attentions.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d82c65c3c345bed8"}},{"code_sha256_prefix":"f3911d17a0ab9c14","entry":"attention_bias_lower_triangle","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"texar/torch/utils/transformer_attentions.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/texar/torch/utils/transformer_attentions.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f3911d17a0ab9c14"}},{"code_sha256_prefix":"27f380a9d9f1c0be","entry":"bleu_transformer_tokenize","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"texar/torch/evals/bleu_transformer.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/texar/torch/evals/bleu_transformer.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"27f380a9d9f1c0be"}},{"code_sha256_prefix":"b1a0c87b5ab99b19","entry":"corpus_bleu_transformer","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"texar/torch/evals/bleu_transformer.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/texar/torch/evals/bleu_transformer.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b1a0c87b5ab99b19"}},{"code_sha256_prefix":"39c364923a957e63","entry":"default_transformer_poswise_net_hparams","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"texar/torch/modules/encoders/transformer_encoder.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/texar/torch/modules/encoders/transformer_encoder.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"39c364923a957e63"}},{"code_sha256_prefix":"51021c67dc837367","entry":"load_features","repo":"VegB/VLN-Transformer","repo_kind":"listed","path":"touchdown/env.py","file_url":"https://github.com/VegB/VLN-Transformer/blob/HEAD/touchdown/env.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"51021c67dc837367"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}